## Diagram: Lean Copilot Architecture
### Overview
The image is a diagram illustrating the architecture of "Lean Copilot". It shows the flow of information from a "Proof Goal" to various functionalities like "SUGGEST_TACTICS", "SEARCH_PROOF", and "SELECT_PREMISES". The core of the system involves either a "NMT" (Neural Machine Translation) component running locally with "CTranslate2" or a "Server" component, both feeding into "LLMs" (Large Language Models).
### Components/Axes
* **Title:** Lean Copilot (located at the top-center of the dashed rounded rectangle)
* **Input:** Proof Goal (orange rounded rectangle on the left)
* **Core Components (inside dashed rounded rectangle):**
* NMT (red logo) - "Locally with CTranslate2"
* OR (text between NMT and Server)
* Server (disk icon with Python logo)
* LLMs (network diagram with blue and red nodes)
* LEAN (logo above NMT/Server)
* **Outputs:**
* SUGGEST\_TACTICS (blue rounded rectangle on the top-right)
* SEARCH\_PROOF (blue rounded rectangle on the middle-right)
* SELECT\_PREMISES (blue rounded rectangle on the bottom-right)
* **Connectors:** Curved lines connecting the "Proof Goal" to the core components and straight lines connecting the core components to the outputs.
### Detailed Analysis or ### Content Details
1. **Proof Goal:** Located on the left, it's the starting point of the process.
2. **Lean Copilot Core:**
* The "NMT" component runs locally with "CTranslate2".
* The "Server" component is represented by a disk icon with the Python logo.
* Either "NMT" or "Server" feeds into "LLMs".
3. **LLMs:** Represented by a network diagram with nodes colored in blue and red. The nodes are interconnected.
4. **Outputs:**
* "SUGGEST\_TACTICS" receives input from the "Lean Copilot" core.
* "SEARCH\_PROOF" receives input from the "Lean Copilot" core.
* "SELECT\_PREMISES" receives input from the "Lean Copilot" core.
### Key Observations
* The diagram shows a clear input-process-output flow.
* The "Lean Copilot" core has two alternative paths: "NMT" (local) or "Server".
* "LLMs" act as a central processing unit, receiving input from either "NMT" or "Server".
* The outputs represent different functionalities provided by the "Lean Copilot".
### Interpretation
The diagram illustrates the architecture of the "Lean Copilot" system, which aims to assist users with proof goals by suggesting tactics, searching for proofs, and selecting premises. The system leverages either a local "NMT" component or a "Server" component, both of which feed into "LLMs" to generate the desired outputs. The "OR" indicates that the system can use either the "NMT" or the "Server" component, suggesting flexibility in deployment and resource utilization. The use of "LLMs" indicates that the system relies on advanced natural language processing techniques to understand and process proof goals.
