Bitefix

Latest version: v1.0.2

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0.1.0

Features

- **Error Resolution Report Export:**
- Logs generated by the AI Agents during the debugging process can now be exported to an MD file.
- Users have the option to specify a log directory for saving these files.
- This feature is optional to users

- **Verbose:**
- Verbose can be set to True to get the terminal logs else False.
- This feature is optional to users

How to Use

1. **Export Error Resolution Report:**
- Set the `export_dir` parameter of Decorator to specify the directory for the outputs by each agent as an Error Resolution Report.
- Logs will be saved in MD format for easy readability.
- If you don't update `export_dir` parameter the records will not be exported.

2. **Verbose:**
- You can set the verbose parameter of Decorator as True to get logs of the output of each agent in the terminal else False.
- By default this parameter is True.

3. **Documentation Update:**
- Refer to the updated documentation for guidance on using the new export and log feature.

Notes

- Users are encouraged to provide feedback on the new export feature for future improvements.

0.0.4

Release Highlights 🚀:

- Decorators Refinement: BiteFix introduces a refined set of decorators with no significant changes in their usage within functions.
- Enhanced AI Prompts: Experience more precise and efficient results as AI prompts for the agents receive a substantial upgrade, providing clearer and more detailed reasoning.

Upgrade now and elevate your error-fixing experience with BiteFix! 🛠️💡

0.0.3

What's Included
- Bitefix is an efficient library designed to streamline error fixing with AI-powered decorators for seamless debugging.
- It initializes a crew of AI agents that work together to diagnose the error, generate ideas to fix the error,
evaluate the ideas to choose the best and develop the code to fix the error.
- BiteFix AI Agents: Four AI agents - Diagnosis Expert, Senior Python Developer, Lead Python Developer, and Python Code Developer.
- Decorators: We support two decorators.
First is `resolve_with_openai` which uses Open AI models for the BitefIx AI Agents.
Second is `resolve` which accepts any LLM of user's choice for the AI Agents.
- Check out this [demo](https://drive.google.com/file/d/1JKeKCbhwSRkx4MfrVtz1oAtW_n4Up1rN/view?usp=sharing) to see how this works

Getting Started
- Explore the Documentation for usage details.
- Install BiteFix using `pip install bitefix`.
- Try out the provided examples to experience error resolution.

Future Roadmap
This is just a basic kickstart towards making the error-fixing process more efficient using the capabilities of Large Language Models
We plan to enhance functionalities and add more features in future releases.

Feedback
Your feedback is valuable! Share your thoughts and raise any Issue.

🚀 Happy Coding with BiteFix! 🛠️

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