Add reflection pattern to agbench lint

[gagb]

This pull request includes several changes to the agbench package, focusing on adding new functionality, improving existing code, and updating dependencies. The most important changes include adding a new dependency, modifying the Document class, enhancing the code_document method, and introducing a new prompt for qualitative coding.

Dependency Updates:

• Added the tiktoken library to the dependencies in pyproject.toml.

Enhancements to Document Class:

• Added a new lines field to the Document class to store the document as a list of strings.
• Updated the load_log_file function to populate the lines field in the Document class.

Improvements to Qualitative Coding:

• Introduced a new MAIN_PROMPT for generating error codes in oai_coder.py.
• Implemented the count_tokens function to count tokens using the tiktoken library.
• Enhanced the code_document method to handle long documents, generate feedback, and update codes based on feedback. [1] [2] [3]

These changes aim to improve the accuracy and efficiency of the qualitative coding process in the agbench package.

[gagb]

@changliu2 and @ShipraJain01 fyi

[afourney]

Generally looks good, but it's failing the CI.

[gagb]

Generally looks good, but it's failing the CI.

Working with @jackgerrits to resolve it. Not sure what's causing all the uv errors.

[gagb]

More features to add based on Chang's feedback

• Can you add a feature to summarize that into counts, like 3 counts for a red code "xyz", and 2 counts for a red code "abc" like in the M1 paper?
• The LLM non-determinism is an issue. Would it be a good idea if we set into temperature to 0 and top_p to 1, or even fix seed?
• I repeated the run twice; the red categories were quite inconsistent
• allow switching the model
• batch summarization

[gagb]

@jackgerrits , I changed my uv to 0.5.18 but I am still stuck in uv.lock rabbit hole. Help!