ReasLingo (ReasLab Agent)

ReasLingo is the foundational core of the ReasLab Agent system. It powers all IDE-based AI conversations seamlessly and provides extensive context configuration parameters to adapt to your specific workflow.

Overview

The ReasLingo interface operates directly from your right sidebar layout within any workspace environment. This multi-purpose AI assistant natively understands workspace directories and active text editor contents without friction.

Core Mechanics

Context Injection (@-mentions)

By dragging an active cursor across text lines in your main editor, you can click "Add to Chat" or simply type @ followed by file names within the prompt interface. The AI constructs an aware representation of project constraints relying on these file indices.

Advanced Parameters

To fine-tune the LLM queries via the system configurations, ReasLingo exposes multiple slider/toggles beneath the chat box:

• Max-Tokens: Restricts the maximum output token length generated by your selected provider. Set this higher for complex code generation, or lower for quick clarifications.
• Reasoning Effort (推理强度): A slider mapping the cognitive density of the model pipeline. High inference settings enable sophisticated tree-of-thought derivations in Lean and advanced theorems, while low parameters accelerate standard autocomplete tasks.
• Agent Roles: Access specialized agent profiles optimized specifically for distinct contexts natively. Examples include direct coding generation versus conceptual paper design logic.

Developing Skills

The ReasLab AI dynamically loads and recognizes structured local /skills/ folder patterns. When provided, the AI applies contextually robust custom reasoning logic towards any command query triggered by the user via Markdown structures.