| Name | agentspec JSON |
| Version |
1.0.0
JSON |
| download |
| home_page | None |
| Summary | Specification-driven development toolkit with smart context detection |
| upload_time | 2025-09-12 20:57:01 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT License
Copyright (c) 2025 AgentSpec
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
| keywords |
specification
development
automation
templates
cli
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# AgentSpec
[](https://github.com/keyurgolani/AgentSpec/actions)
[](https://codecov.io/gh/keyurgolani/AgentSpec)
[](https://badge.fury.io/py/agentspec)
[](https://www.python.org/downloads/)
**Specification-Driven Development for AI Agents**
AgentSpec is a comprehensive toolkit that enables AI agents to follow best practices through structured specifications, intelligent context detection, and automated validation. Transform your AI development workflow with modular instruction systems and enterprise-ready architecture.
## 🚀 Quick Start
```bash
# Install AgentSpec
pip install agentspec
# Generate your first spec with enhanced features
agentspec interactive
# Analyze your project automatically
agentspec analyze ./my-project
# Integrate AI best practices into existing projects
agentspec integrate ./my-project
# Use templates for quick setup
agentspec generate --template react-app --output spec.md
```
## ✨ Key Features
- **📋 Intelligent Spec Generation**: 100+ curated instructions with smart tagging system
- **🤖 AI Best Practices Integration**: Research-based framework for AI-assisted development
- **🔒 Security Guardrails**: Multi-layered protection against AI-generated vulnerabilities
- **🎯 Domain-Specific Guidance**: Specialized blueprints for DevOps, Frontend, Backend, and more
- **🔄 Resumable Development**: Task contexts that preserve state across sessions
- **✅ Quality Enforcement**: Zero-tolerance validation with comprehensive testing
- **🏗️ Modular Architecture**: Clean separation of concerns and DRY principles
- **📊 Progress Tracking**: Automated compliance reporting and metrics
## 🎯 Core Concepts
### Specification-Driven Development
AgentSpec uses structured specifications to guide AI agents through complex development tasks while maintaining code quality and consistency.
### Task Context Management
Every development task creates a markdown context file that records:
- Objective and requirements
- Context gathered during analysis
- Changes made step-by-step
- Issues encountered and solutions
- Next steps and completion status
### Validation Framework
Comprehensive validation ensures:
- No linting, compilation, or build errors
- Test coverage requirements met
- Documentation stays current
- Security best practices followed
## 📁 Project Structure
```
your-project/
├── .agentspec/ # AgentSpec configuration
├── task_contexts/ # Resumable task contexts
├── project_context.md # Shared project knowledge
├── project_spec.md # Generated specification
├── tests/ # Test directories (unit/, integration/, e2e/)
├── test # Consolidated test runner
└── scripts/
└── validate.sh # Validation suite
```
## 🛠️ Usage Examples
#### Generate a Full-Stack Web App Spec
```bash
agentspec generate --tags general,testing,frontend,backend,api,security --output fullstack_spec.md
```
#### Generate Project-Specific Specs
```bash
# Enterprise web application with security and compliance
agentspec generate --template enterprise-web-app --output enterprise-spec.md
# SaaS platform with multi-tenancy and billing
agentspec generate --template saas-platform --output saas-spec.md
# E-commerce platform with payments and recommendations
agentspec generate --template e-commerce-platform --output ecommerce-spec.md
# Fintech application with regulatory compliance
agentspec generate --template fintech-app --output fintech-spec.md
# Healthcare platform with HIPAA compliance
agentspec generate --template healthcare-platform --output healthcare-spec.md
```
#### Use Templates for Quick Setup
```bash
# List available templates
agentspec list-templates
# Web applications
agentspec generate --template react-app --output react_spec.md
agentspec generate --template vue-app --output vue_spec.md
agentspec generate --template base-web-app --output webapp_spec.md
# Backend services
agentspec generate --template python-api --output api_spec.md
agentspec generate --template nodejs-api --output node_api_spec.md
agentspec generate --template microservice --output microservice_spec.md
# Mobile and specialized platforms
agentspec generate --template mobile-app --output mobile_spec.md
agentspec generate --template data-science-platform --output datascience_spec.md
```
#### Smart Project Analysis
```bash
# Analyze project and get suggestions
agentspec analyze ./my-project --output analysis.json
# Generate spec with project context
agentspec generate --tags general,testing --project-path ./my-project --output spec.md
```
#### AI Best Practices Integration
```bash
# Analyze project for AI integration opportunities
agentspec integrate ./my-project --analyze-only
# Full integration with file generation
agentspec integrate ./my-project
# Get JSON output for programmatic use
agentspec integrate ./my-project --analyze-only --output-format json
```
#### Interactive Mode
```bash
agentspec interactive
# Features: project detection, template suggestions, smart recommendations
```
## 🧪 Testing
AgentSpec includes a comprehensive test runner that consolidates all testing capabilities:
```bash
# Run comprehensive test suite (default)
./test
# Run specific test types
./test --unit # Unit tests only
./test --integration # Integration tests only
./test --e2e # End-to-end tests only
./test --lint # Code quality checks
./test --coverage # Generate coverage report
# Utility commands
./test --clean # Clean test artifacts
./test --install-deps # Install test dependencies
./test --verbose # Verbose output
```
The default comprehensive test suite includes:
- CLI functionality tests
- Spec generation validation
- Setup script testing
- Code quality checks (linting, formatting, security)
- All pytest-based tests with coverage reporting
## 📚 Documentation
- [Getting Started Guide](docs/getting-started.md)
- [AI Integration Guide](docs/ai-integration.md)
- [AI Best Practices Integration](docs/ai-best-practices.md)
- [Specification Reference](docs/specifications.md)
- [API Documentation](docs/api.md)
## 🏷️ Available Templates & Tags
### Project Templates
| Template | Description | Use Case |
| --------------------------- | --------------------------------------------- | ------------------------------ |
| **enterprise-web-app** | Large-scale enterprise applications | Corporate web platforms |
| **saas-platform** | Multi-tenant SaaS applications | Software as a Service products |
| **e-commerce-platform** | Online retail and marketplace platforms | E-commerce and retail |
| **fintech-app** | Financial technology applications | Banking, payments, trading |
| **healthcare-platform** | Healthcare applications with HIPAA compliance | Medical and health tech |
| **microservice** | Distributed microservice architectures | Scalable backend services |
| **mobile-app** | Cross-platform mobile applications | iOS and Android apps |
| **react-app** | Modern React web applications | Frontend single-page apps |
| **vue-app** | Vue.js web applications | Frontend applications |
| **nodejs-api** | Node.js REST APIs | Backend API services |
| **python-api** | Python REST APIs | Backend API services |
| **data-science-platform** | ML and data science platforms | Analytics and AI/ML workflows |
| **ai-enhanced-development** | AI-assisted development workflows | Projects using AI coding tools |
| **secure-enterprise-app** | High-security enterprise applications | Security-critical applications |
### Available Tags
| Category | Tags | Description |
| --------------- | ------------------------------------------------- | --------------------------------- |
| **General** | `general`, `quality`, `standards` | Core development practices |
| **AI-Enhanced** | `ai-enhanced`, `prompt-engineering`, `validation` | AI-assisted development |
| **Security** | `security`, `compliance`, `encryption`, `audit` | Security and compliance measures |
| **Testing** | `testing`, `tdd`, `validation` | Testing strategies and frameworks |
| **Frontend** | `frontend`, `react`, `vue`, `angular` | Frontend development practices |
| **Backend** | `backend`, `api`, `database`, `microservices` | Server-side development |
| **Languages** | `javascript`, `typescript`, `python`, `dart` | Language-specific guidelines |
| **DevOps** | `docker`, `kubernetes`, `ci-cd`, `deployment` | Infrastructure and deployment |
| **Industry** | `fintech`, `healthcare`, `e-commerce`, `saas` | Industry-specific requirements |
## 🔧 Configuration
AgentSpec can be customized through configuration files:
```yaml
# ~/.agentspec/config.yaml
agentspec:
version: "1.0.0"
paths:
instructions: "data/instructions"
templates: "data/templates"
output: "."
behavior:
auto_detect_project: true
suggest_templates: true
validate_on_generate: true
logging:
level: "INFO"
```
## 🤝 Contributing
We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
1. Fork the repository
2. Create a feature branch
3. Add your improvements
4. Ensure all validations pass
5. Submit a pull request
## 📄 License
MIT License - see [LICENSE](LICENSE) for details.
## 🌟 Why AgentSpec?
- **Consistency**: Ensures AI agents follow the same high standards across all tasks
- **Resumability**: Never lose context when development is interrupted
- **Quality**: Zero-tolerance policy for errors and technical debt
- **Scalability**: Grows with your project from prototype to production
- **Community**: Benefit from collective best practices and shared knowledge
---
**Transform your AI development workflow with AgentSpec - where intelligent development meets uncompromising quality.**
Raw data
{
"_id": null,
"home_page": null,
"name": "agentspec",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "specification, development, automation, templates, cli",
"author": null,
"author_email": "Keyur Golani <keyur@keyurgolani.com>",
"download_url": "https://files.pythonhosted.org/packages/80/a5/edd0155e5a376e4f6c93c28e0353de58a33627d10ae525109b5e560b03e7/agentspec-1.0.0.tar.gz",
"platform": null,
"description": "# AgentSpec\n\n[](https://github.com/keyurgolani/AgentSpec/actions)\n[](https://codecov.io/gh/keyurgolani/AgentSpec)\n[](https://badge.fury.io/py/agentspec)\n[](https://www.python.org/downloads/)\n\n**Specification-Driven Development for AI Agents**\n\nAgentSpec is a comprehensive toolkit that enables AI agents to follow best practices through structured specifications, intelligent context detection, and automated validation. Transform your AI development workflow with modular instruction systems and enterprise-ready architecture.\n\n## \ud83d\ude80 Quick Start\n\n```bash\n# Install AgentSpec\npip install agentspec\n\n# Generate your first spec with enhanced features\nagentspec interactive\n\n# Analyze your project automatically\nagentspec analyze ./my-project\n\n# Integrate AI best practices into existing projects\nagentspec integrate ./my-project\n\n# Use templates for quick setup\nagentspec generate --template react-app --output spec.md\n```\n\n## \u2728 Key Features\n\n- **\ud83d\udccb Intelligent Spec Generation**: 100+ curated instructions with smart tagging system\n- **\ud83e\udd16 AI Best Practices Integration**: Research-based framework for AI-assisted development\n- **\ud83d\udd12 Security Guardrails**: Multi-layered protection against AI-generated vulnerabilities\n- **\ud83c\udfaf Domain-Specific Guidance**: Specialized blueprints for DevOps, Frontend, Backend, and more\n- **\ud83d\udd04 Resumable Development**: Task contexts that preserve state across sessions\n- **\u2705 Quality Enforcement**: Zero-tolerance validation with comprehensive testing\n- **\ud83c\udfd7\ufe0f Modular Architecture**: Clean separation of concerns and DRY principles\n- **\ud83d\udcca Progress Tracking**: Automated compliance reporting and metrics\n\n## \ud83c\udfaf Core Concepts\n\n### Specification-Driven Development\n\nAgentSpec uses structured specifications to guide AI agents through complex development tasks while maintaining code quality and consistency.\n\n### Task Context Management\n\nEvery development task creates a markdown context file that records:\n\n- Objective and requirements\n- Context gathered during analysis\n- Changes made step-by-step\n- Issues encountered and solutions\n- Next steps and completion status\n\n### Validation Framework\n\nComprehensive validation ensures:\n\n- No linting, compilation, or build errors\n- Test coverage requirements met\n- Documentation stays current\n- Security best practices followed\n\n## \ud83d\udcc1 Project Structure\n\n```\nyour-project/\n\u251c\u2500\u2500 .agentspec/ # AgentSpec configuration\n\u251c\u2500\u2500 task_contexts/ # Resumable task contexts\n\u251c\u2500\u2500 project_context.md # Shared project knowledge\n\u251c\u2500\u2500 project_spec.md # Generated specification\n\u251c\u2500\u2500 tests/ # Test directories (unit/, integration/, e2e/)\n\u251c\u2500\u2500 test # Consolidated test runner\n\u2514\u2500\u2500 scripts/\n \u2514\u2500\u2500 validate.sh # Validation suite\n```\n\n## \ud83d\udee0\ufe0f Usage Examples\n\n#### Generate a Full-Stack Web App Spec\n\n```bash\nagentspec generate --tags general,testing,frontend,backend,api,security --output fullstack_spec.md\n```\n\n#### Generate Project-Specific Specs\n\n```bash\n# Enterprise web application with security and compliance\nagentspec generate --template enterprise-web-app --output enterprise-spec.md\n\n# SaaS platform with multi-tenancy and billing\nagentspec generate --template saas-platform --output saas-spec.md\n\n# E-commerce platform with payments and recommendations\nagentspec generate --template e-commerce-platform --output ecommerce-spec.md\n\n# Fintech application with regulatory compliance\nagentspec generate --template fintech-app --output fintech-spec.md\n\n# Healthcare platform with HIPAA compliance\nagentspec generate --template healthcare-platform --output healthcare-spec.md\n```\n\n#### Use Templates for Quick Setup\n\n```bash\n# List available templates\nagentspec list-templates\n\n# Web applications\nagentspec generate --template react-app --output react_spec.md\nagentspec generate --template vue-app --output vue_spec.md\nagentspec generate --template base-web-app --output webapp_spec.md\n\n# Backend services\nagentspec generate --template python-api --output api_spec.md\nagentspec generate --template nodejs-api --output node_api_spec.md\nagentspec generate --template microservice --output microservice_spec.md\n\n# Mobile and specialized platforms\nagentspec generate --template mobile-app --output mobile_spec.md\nagentspec generate --template data-science-platform --output datascience_spec.md\n```\n\n#### Smart Project Analysis\n\n```bash\n# Analyze project and get suggestions\nagentspec analyze ./my-project --output analysis.json\n\n# Generate spec with project context\nagentspec generate --tags general,testing --project-path ./my-project --output spec.md\n```\n\n#### AI Best Practices Integration\n\n```bash\n# Analyze project for AI integration opportunities\nagentspec integrate ./my-project --analyze-only\n\n# Full integration with file generation\nagentspec integrate ./my-project\n\n# Get JSON output for programmatic use\nagentspec integrate ./my-project --analyze-only --output-format json\n```\n\n#### Interactive Mode\n\n```bash\nagentspec interactive\n# Features: project detection, template suggestions, smart recommendations\n```\n\n## \ud83e\uddea Testing\n\nAgentSpec includes a comprehensive test runner that consolidates all testing capabilities:\n\n```bash\n# Run comprehensive test suite (default)\n./test\n\n# Run specific test types\n./test --unit # Unit tests only\n./test --integration # Integration tests only\n./test --e2e # End-to-end tests only\n./test --lint # Code quality checks\n./test --coverage # Generate coverage report\n\n# Utility commands\n./test --clean # Clean test artifacts\n./test --install-deps # Install test dependencies\n./test --verbose # Verbose output\n```\n\nThe default comprehensive test suite includes:\n\n- CLI functionality tests\n- Spec generation validation\n- Setup script testing\n- Code quality checks (linting, formatting, security)\n- All pytest-based tests with coverage reporting\n\n## \ud83d\udcda Documentation\n\n- [Getting Started Guide](docs/getting-started.md)\n- [AI Integration Guide](docs/ai-integration.md)\n- [AI Best Practices Integration](docs/ai-best-practices.md)\n- [Specification Reference](docs/specifications.md)\n- [API Documentation](docs/api.md)\n\n## \ud83c\udff7\ufe0f Available Templates & Tags\n\n### Project Templates\n\n| Template | Description | Use Case |\n| --------------------------- | --------------------------------------------- | ------------------------------ |\n| **enterprise-web-app** | Large-scale enterprise applications | Corporate web platforms |\n| **saas-platform** | Multi-tenant SaaS applications | Software as a Service products |\n| **e-commerce-platform** | Online retail and marketplace platforms | E-commerce and retail |\n| **fintech-app** | Financial technology applications | Banking, payments, trading |\n| **healthcare-platform** | Healthcare applications with HIPAA compliance | Medical and health tech |\n| **microservice** | Distributed microservice architectures | Scalable backend services |\n| **mobile-app** | Cross-platform mobile applications | iOS and Android apps |\n| **react-app** | Modern React web applications | Frontend single-page apps |\n| **vue-app** | Vue.js web applications | Frontend applications |\n| **nodejs-api** | Node.js REST APIs | Backend API services |\n| **python-api** | Python REST APIs | Backend API services |\n| **data-science-platform** | ML and data science platforms | Analytics and AI/ML workflows |\n| **ai-enhanced-development** | AI-assisted development workflows | Projects using AI coding tools |\n| **secure-enterprise-app** | High-security enterprise applications | Security-critical applications |\n\n### Available Tags\n\n| Category | Tags | Description |\n| --------------- | ------------------------------------------------- | --------------------------------- |\n| **General** | `general`, `quality`, `standards` | Core development practices |\n| **AI-Enhanced** | `ai-enhanced`, `prompt-engineering`, `validation` | AI-assisted development |\n| **Security** | `security`, `compliance`, `encryption`, `audit` | Security and compliance measures |\n| **Testing** | `testing`, `tdd`, `validation` | Testing strategies and frameworks |\n| **Frontend** | `frontend`, `react`, `vue`, `angular` | Frontend development practices |\n| **Backend** | `backend`, `api`, `database`, `microservices` | Server-side development |\n| **Languages** | `javascript`, `typescript`, `python`, `dart` | Language-specific guidelines |\n| **DevOps** | `docker`, `kubernetes`, `ci-cd`, `deployment` | Infrastructure and deployment |\n| **Industry** | `fintech`, `healthcare`, `e-commerce`, `saas` | Industry-specific requirements |\n\n## \ud83d\udd27 Configuration\n\nAgentSpec can be customized through configuration files:\n\n```yaml\n# ~/.agentspec/config.yaml\nagentspec:\n version: \"1.0.0\"\n\n paths:\n instructions: \"data/instructions\"\n templates: \"data/templates\"\n output: \".\"\n\n behavior:\n auto_detect_project: true\n suggest_templates: true\n validate_on_generate: true\n\n logging:\n level: \"INFO\"\n```\n\n## \ud83e\udd1d Contributing\n\nWe welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\n\n1. Fork the repository\n2. Create a feature branch\n3. Add your improvements\n4. Ensure all validations pass\n5. Submit a pull request\n\n## \ud83d\udcc4 License\n\nMIT License - see [LICENSE](LICENSE) for details.\n\n## \ud83c\udf1f Why AgentSpec?\n\n- **Consistency**: Ensures AI agents follow the same high standards across all tasks\n- **Resumability**: Never lose context when development is interrupted\n- **Quality**: Zero-tolerance policy for errors and technical debt\n- **Scalability**: Grows with your project from prototype to production\n- **Community**: Benefit from collective best practices and shared knowledge\n\n---\n\n**Transform your AI development workflow with AgentSpec - where intelligent development meets uncompromising quality.**\n",
"bugtrack_url": null,
"license": "MIT License\n \n Copyright (c) 2025 AgentSpec\n \n Permission is hereby granted, free of charge, to any person obtaining a copy\n of this software and associated documentation files (the \"Software\"), to deal\n in the Software without restriction, including without limitation the rights\n to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n copies of the Software, and to permit persons to whom the Software is\n furnished to do so, subject to the following conditions:\n \n The above copyright notice and this permission notice shall be included in all\n copies or substantial portions of the Software.\n \n THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n SOFTWARE.",
"summary": "Specification-driven development toolkit with smart context detection",
"version": "1.0.0",
"project_urls": {
"Bug Tracker": "https://github.com/keyurgolani/AgentSpec/issues",
"Documentation": "https://github.com/keyurgolani/AgentSpec#readme",
"Homepage": "https://github.com/keyurgolani/AgentSpec",
"Repository": "https://github.com/keyurgolani/AgentSpec.git"
},
"split_keywords": [
"specification",
" development",
" automation",
" templates",
" cli"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "d3a9dfec437b323d788a4646f4500efe992d8de36fe89056bf5cdca630d6c852",
"md5": "1729cf1e0facede41cbcc701becda585",
"sha256": "4f9b956e7040d331bb2ee2adb43e00ecb8b834b8a3447df6804371b6253c8d21"
},
"downloads": -1,
"filename": "agentspec-1.0.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "1729cf1e0facede41cbcc701becda585",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 173086,
"upload_time": "2025-09-12T20:56:59",
"upload_time_iso_8601": "2025-09-12T20:56:59.939822Z",
"url": "https://files.pythonhosted.org/packages/d3/a9/dfec437b323d788a4646f4500efe992d8de36fe89056bf5cdca630d6c852/agentspec-1.0.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "80a5edd0155e5a376e4f6c93c28e0353de58a33627d10ae525109b5e560b03e7",
"md5": "48ef5441589c68e693bc915818ab09ff",
"sha256": "c54cec304dbd4b72f07ccbfbef4971a7a4c1dc64ef1fcb32d3fe1ecb26a02927"
},
"downloads": -1,
"filename": "agentspec-1.0.0.tar.gz",
"has_sig": false,
"md5_digest": "48ef5441589c68e693bc915818ab09ff",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 227819,
"upload_time": "2025-09-12T20:57:01",
"upload_time_iso_8601": "2025-09-12T20:57:01.770469Z",
"url": "https://files.pythonhosted.org/packages/80/a5/edd0155e5a376e4f6c93c28e0353de58a33627d10ae525109b5e560b03e7/agentspec-1.0.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-09-12 20:57:01",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "keyurgolani",
"github_project": "AgentSpec",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "agentspec"
}
