## Flowchart: Lean Copilot System Architecture
### Overview
The diagram illustrates a technical workflow for a "Lean Copilot" system that processes a "Proof Goal" input through two parallel pathways (local NMT processing or server-based processing) to generate three distinct outputs: tactical suggestions, proof searches, and premise selections. The central processing unit (Lean Copilot) integrates these pathways through a neural network architecture labeled "LLMs".
### Components/Axes
1. **Input**:
- Orange rectangle labeled "Proof Goal" (left side)
2. **Processing Pathways**:
- **Local Path**:
- Red square with "NMT" logo
- Text: "Locally with CTranslate2"
- **Server Path**:
- Gray server icon with Python logo
3. **Central Processor**:
- Dashed box labeled "Lean Copilot"
- Contains neural network diagram with interconnected nodes (blue, red, green)
- Text: "LLMs" (Large Language Models)
4. **Outputs**:
- Three blue rectangles with black text:
- "SUGGEST_TACTICS" (top right)
- "SEARCH_PROOF" (middle right)
- "SELECT_PREMISES" (bottom right)
### Flow Direction
- Arrows indicate bidirectional flow from "Proof Goal" to "Lean Copilot"
- Two parallel pathways converge at the central processor:
1. Local NMT processing (CTranslate2)
2. Server-based processing
- Three unidirectional arrows from "Lean Copilot" to output boxes
### Key Observations
1. **Modular Architecture**: The system separates processing into local (NMT) and server-based components before central integration
2. **Neural Network Integration**: The "LLMs" component appears to be the core processing unit within the Lean Copilot
3. **Output Specialization**: Each output box represents a distinct analytical function derived from the processed proof goal
4. **Bidirectional Input**: The system accepts feedback or iterative input through the bidirectional arrows from Proof Goal
### Interpretation
This architecture suggests a hybrid AI system designed for mathematical or logical proof assistance. The dual processing pathways allow for:
- **Local Efficiency**: Immediate processing via CTranslate2 for quick translations/transformations
- **Server Scalability**: Access to more powerful computational resources when needed
- **Unified Intelligence**: The Lean Copilot acts as an orchestrator, combining local and server insights through LLMs to generate specialized outputs
The system appears optimized for:
1. **Tactical Decision Making** (SUGGEST_TACTICS)
2. **Proof Validation/Discovery** (SEARCH_PROOF)
3. **Logical Foundation Building** (SELECT_PREMISES)
The bidirectional flow from Proof Goal implies potential for iterative refinement of inputs based on system outputs, suggesting an adaptive learning component not explicitly shown in the diagram.
