ea4all-live-confluence-disabled-overview-updated

README.md

@@ -1,5 +1,5 @@
 ---
-title: Talk to your Multi-Agentic Architect Companion
+title: Talk to your Architecture Agentic Workforce
 emoji: 👁
 colorFrom: purple
 colorTo: green
@@ -12,11 +12,28 @@ thumbnail: >-
 short_description: Harness the value of Architecture in the Generative AI era.
 ---
 
+## Title
+
+Empower people with ability to harness the value of Enterprise Architecture with Generative AI to positively impact individuals and organisations.\n
+
+## Problem to solve
+
+Enterprise Architecture teams struggle with limited resources, fragmented processes, and poor collaboration between business and technology. They remain reactive and slow to adapt, hindered by manual work, knowledge silos, and a steep learning curve.
+
+
+- `Lack of shared` understanding between business and technology stakeholders.
+- `Slow, manual, and fragmented` architecture documentation processes.
+- `Inability to quickly` adapt architecture to strategic or market changes.
+- `Limited collaboration` and accessibility of architectural knowledge.
+- `Steep learning` curve and delayed exposure to proven design patterns.
+- Architecture teams `constrained` by Enterprise Technology budget (small teams)
+- `Project oriented` and `reactive` architecture teams
+
+
 ## Architect Agentic Companion
 
 ![Agent System Container](ea4all/images/ea4all_architecture.png)
 
-
 ## Background
 
 - `Trigger`: How disruptive may Generative AI be for Enterprise Architecture Capability (People, Process and Tools)?
@@ -28,13 +45,14 @@ short_description: Harness the value of Architecture in the Generative AI era.
 ## Benefits
 
 - `Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button.
+- `Accelerate learning`: gain quick access to new architectures design, patterns, and best-practices. 
 - `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.
 - `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.
 - `Increase collaboration`: democratise architecture work and knowledge with anyone using natural language.
 - `Cost optimisation`: intelligent allocation of architects time for valuable business tasks.
 - `Business Growth`: create / re-use of (new) products and services, and people experience enhancements.
 - `Resilience`: assess solution are secured by design, poses any risk and how to mitigate, apply best-practices.
-- `Streamline`: the process of managing and utilizsng architectural knowledge and tools in a user-friendly way.
+- `Streamline`: the process of managing and utilising architectural knowledge and tools in a user-friendly way.
 
 ## Knowledge context
 

live.md

@@ -0,0 +1,134 @@
+---
+title: Talk to your Multi-Agentic Architect Companion
+emoji: 👁
+colorFrom: purple
+colorTo: green
+sdk: docker
+pinned: false
+license: apache-2.0
+python_version: 3.12.10
+thumbnail: >-
+  https://cdn-uploads.huggingface.co/production/uploads/63601a6488e41d249eccb69e/8-pNAGmJNXRUp9Mwu_ab6.png
+short_description: Harness the value of Architecture in the Generative AI era.
+---
+
+## Title
+
+Empower people with ability to harness the value of Enterprise Architecture with Generative AI to positively impact individuals and organisations.\n
+
+## Architect Agentic Companion
+
+![Agent System Container](ea4all/images/ea4all_architecture.png)
+
+## Background
+
+- `Trigger`: How disruptive may Generative AI be for Enterprise Architecture Capability (People, Process and Tools)?
+- `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.
+- `Ability`: Exploit my carrer background and skillset across system development, business accumen, innovation and architecture to accelerate GenAI exploration while learning new things.
+
+> That's how the `EA4ALL-Agentic system` was born and ever since continuously evolving to build an ecosystem of **Architects Agent partners**.
+
+## Benefits
+
+- `Empower individuals with Knowledge`: understand and talk about Business and Technology strategy, IT landscape, Architectue Artefacts in a single click of button.
+- `Accelerate learning`: gain quick access to new architectures design, patterns, and best-practices. 
+- `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.
+- `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.
+- `Increase collaboration`: democratise architecture work and knowledge with anyone using natural language.
+- `Cost optimisation`: intelligent allocation of architects time for valuable business tasks.
+- `Business Growth`: create / re-use of (new) products and services, and people experience enhancements.
+- `Resilience`: assess solution are secured by design, poses any risk and how to mitigate, apply best-practices.
+- `Streamline`: the process of managing and utilising architectural knowledge and tools in a user-friendly way.
+
+## Knowledge context
+
+Synthetic datasets are used to exemplify the Agentic System capabilities.
+
+### IT Landscape Question and Answering
+
+    - Application name
+        - Business fit: appropriate, inadequate, perfect
+        - Technical fit: adequate, insufficient, perfect
+        - Business_criticality: operational, medium, high, critical
+        - Roadmap: maintain, invest, divers
+        - Architect responsible
+        - Hosting: user device, on-premise, IaaS, SaaS
+        - Business capability
+        - Business domain
+        - Description  
+
+    - Bring Your Own Data: upload your own IT landscape data
+        - Application Portfolio Management
+            - xlsx tabular format
+            - first row (header) with fields name (colums)
+    
+### Architecture Diagram Visual Question and Answering
+
+    - Architecture Visual Artefacts
+        - jpeg, png
+
+        **Disclaimer**
+                - Your data & image are not accessible or shared with anyone else nor used for training purpose.
+                - EA4ALL-VQA Agent should be used ONLY FOR Architecture Diagram images.
+                - This feature should NOT BE USED to process inappropriate content.
+
+### Reference Architecture Generation
+
+    - Clock in/out Use-case
+
+### Architecture Demand Management
+
+    - Provide project resource estimation for architecture work based on business requirements, skillset, architects allocation, and any other relevant information to enable successful project solution delivery.
+
+### AWS & Microsoft Official Documentation Question and Answering
+
+    - Access to official documentation and diagram generation for AWS services. MCP service-based.
+
+## Log / Traceability
+
+    For purpose of continuous improvement, agentic workflows are logged in. 
+
+## Architecture
+
+<italic>Core architecture built upon Python, Langchain, Langgraph, Langsmith, and Gradio.<italic>
+
+    - Python
+        - Pandas
+        - Langchain
+        - Langgraph
+        - Huggingface
+        - CrewAI
+
+    - RAG (Retrieval Augmented Generation)
+        - Vectorstore
+
+    - Prompt Engineering
+        - Strategy & tactics: Task / Sub-tasks
+        - Agentic Workflow
+
+    - Models: 
+        - OpenAI
+        - Meta/Llama
+        - Google Gemini
+    
+    - Hierarchical-Agent-Teams: 
+        - Tabular-question-answering over your own document
+        - Supervisor
+        - Visual Questions Answering 
+        - Diagram Component Analysis
+        - Risk & Vulnerability and Mitigation options
+        - Well-Architecture Design Assessment
+        - Vision and Target Architecture
+        - Architect Demand Management
+        - AWS & Microsoft Official Documentation
+        
+    - User Interface
+        - Gradio
+
+    - Observability & Evaluation
+        - Langsmith
+
+    - Hosting
+        - Huggingface Space
+    
+Check out the configuration reference at [spaces-config-reference](https://huggingface.co/docs/hub/spaces-config-reference)

requirements.txt

@@ -17,7 +17,7 @@ langchain-core
 langchain-experimental
 langchain-google-genai
 langchain-huggingface
-langchain-mcp-adapters
+langchain-mcp-adapters==0.1.9
 langchain-openai
 langchainhub
 langgraph