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Lemon AI v0.2.0

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@HexdoAI HexdoAI released this 19 Jun 02:23
· 152 commits to main since this release

πŸ‹ Lemon AI V0.2.0 Release Notes

  • Open-Source Version: V0.2.0 ✨

🧠 Core Feature Optimizations

Task Planning Prompt & Output Effect Optimization 🎯

We've redesigned and optimized the prompt logic related to task planning. Now, the AI can understand user intent more clearly, significantly improving the overall coherence and accuracy of its outputs.

ReAct Thinking-Execution Process Optimization ⚑

The "think-act" process under the ReAct mode is now more efficient and responsive. This means the AI can better accomplish complex task reasoning and execution.

ToolUse Prompt Optimization, Adapting to New Task Planning πŸ› οΈ

The ToolUse logic has been synchronously upgraded, ensuring that the necessary tools can be accurately identified and called within the new task planning framework, making your operations smoother.

Volcengine DeepSeek-V3 Code Output Optimization πŸ’»

We've deeply fine-tuned the code generation capabilities of DeepSeek-V3. The output length now supports up to 16K, significantly enhancing code completeness and accuracy.

Coding Generation & Parsing Optimization πŸ”§

The code generation and parsing processes have been comprehensively optimized, drastically reducing errors caused by formatting or syntax issues, leading to more stable code execution.


🐞 Bug Fixes

Fixed Docker-Runtime Shell Command Execution Failure βœ…

In previous versions, shell commands executed by the Docker runtime could lead to persistent task failures. This update has completely resolved the issue, ensuring your tasks run smoothly.

Optimized Credit Deduction Display Logic πŸ’°

We've adjusted the display rules and interaction methods for credit deductions, allowing you to more clearly understand credit changes. This improves transparency and user experience.

Here are a few ways to translate your statement into English, focusing on clarity and impact:

Optimizing Point Deduction Display Logic

We've refined the display rules and interaction methods for point deductions. This change aims to provide users with a clearer understanding of point changes, enhancing transparency and improving the user experience.


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