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--- |
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title: Ea4all Gradio Agents MCP Hackathon |
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emoji: 👁 |
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colorFrom: blue |
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colorTo: blue |
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sdk: gradio |
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sdk_version: 5.32.1 |
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python_version: 3.12.10 |
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app_file: app.py |
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pinned: false |
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license: apache-2.0 |
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short_description: Enterprise Architecture Agentic Tool MCP Server |
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tags: |
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- mcp-server-track |
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--- |
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## Architect Agentic Companion |
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## Background |
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- `Trigger`: How disruptive may Generative AI be for Enterprise Architecture Capability (People, Process and Tools)? |
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- `Motivation`: Master GenAI while disrupting Enterprise Architecture to empower individuals and organisations with ability to harness EA value and make people lives better, safer and more efficient. |
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- `Ability`: Exploit my carrer background and skillset across system development, business accumen, innovation and architecture to accelerate GenAI exploration while learning new things. |
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> That's how the `EA4ALL-Agentic system` was born and ever since continuously evolving to build an ecosystem of **Architects Agent partners**. |
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## Benefits |
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- `Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button. |
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- `Increase efficiency and productivity`: generate a documented architecture with diagram, model and descriptions. Accelerate Business Requirement identification and translation to Target Reference Architecture. Automated steps and reduced times for task execution. |
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- `Improve agility`: plan, execute, review and iterate over EA inputs and outputs. Increase the ability to adapt, transform and execute at pace and scale in response to changes in strategy, threats and opportunities. |
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- `Increase collaboration`: democratise architecture work and knowledge with anyone using natural language. |
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- `Cost optimisation`: intelligent allocation of architects time for valuable business tasks. |
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- `Business Growth`: create / re-use of (new) products and services, and people experience enhancements. |
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- `Resilience`: assess solution are secured by design, poses any risk and how to mitigate, apply best-practices. |
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- `Streamline`: the process of managing and utilizsng architectural knowledge and tools in a user-friendly way. |
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## Knowledge context |
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Synthetic datasets are used to exemplify the Agentic System capabilities. |
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### IT Landscape Question and Answering |
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- Application name |
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- Business fit: appropriate, inadequate, perfect |
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- Technical fit: adequate, insufficient, perfect |
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- Business_criticality: operational, medium, high, critical |
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- Roadmap: maintain, invest, divers |
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- Architect responsible |
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- Hosting: user device, on-premise, IaaS, SaaS |
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- Business capability |
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- Business domain |
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- Description |
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- Bring Your Own Data: upload your own IT landscape data |
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- Application Portfolio Management |
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- xlsx tabular format |
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- first row (header) with fields name (colums) |
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### Architecture Diagram Visual Question and Answering |
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- Architecture Visual Artefacts |
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- jpeg, png |
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**Disclaimer** |
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- Your data & image are not accessible or shared with anyone else nor used for training purpose. |
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- EA4ALL-VQA Agent should be used ONLY FOR Architecture Diagram images. |
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- This feature should NOT BE USED to process inappropriate content. |
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### Reference Architecture Generation |
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- Clock in/out Use-case |
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## Log / Traceability |
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For purpose of continuous improvement, agentic workflows are logged in. |
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## Architecture |
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<italic>Core architecture built upon Python, Langchain, Langgraph, Langsmith, and Gradio.<italic> |
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- Python |
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- Pandas |
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- Langchain |
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- Langgraph |
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- Huggingface |
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- CrewAI |
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- RAG (Retrieval Augmented Generation) |
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- Vectorstore |
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- Prompt Engineering |
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- Strategy & tactics: Task / Sub-tasks |
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- Agentic Workflow |
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- Models: |
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- OpenAI |
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- Meta/Llama |
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- Google Gemini |
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- Hierarchical-Agent-Teams: |
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- Tabular-question-answering over your own document |
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- Supervisor |
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- Visual Questions Answering |
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- Diagram Component Analysis |
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- Risk & Vulnerability and Mitigation options |
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- Well-Architecture Design Assessment |
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- Vision and Target Architecture |
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- Architect Demand Management |
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- User Interface |
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- Gradio |
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- Observability & Evaluation |
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- Langsmith |
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- Hosting |
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- Huggingface Space |
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Check out the configuration reference at [spaces-config-reference](https://huggingface.co/docs/hub/spaces-config-reference) |
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