Context:

Directory Structure:
```
./
  .flake8
  README.md
  __init__.py
  main.py
  pyproject.toml
  requirements.txt
  scripts/
      codesumma.sh
  setup.py
  src/
      __init__.py
      cache.py
      file_processing.py
      openai_api.py
      summary.py
      traceback_parser.py
      utils.py
```

File Summary:
File: ./.flake8
```
This code is a configuration file for the `flake8` linter. It tells `flake8` to ignore certain files and directories (`.git`, `__pycache__`, `build`, `dist`) and to set the maximum line length to 88 characters.
```

File: ./requirements.txt

File: ./pyproject.toml
```
This is a codebase for a Python project called "CodeSumma." It requires the setuptools and wheel libraries, and has dependencies on Python 3.10, the OpenAI library, and the TikTok library. The project also uses the Python-Dotenv library for development.
```

File: ./__init__.py

File: ./README.md
```
CodeSumma is a tool that generates summaries of Python codebases. It extracts code structure, classes, functions, dependencies, and traceback information to create comprehensive summaries. These summaries can then be used to consult ChatGPT for assistance with development tasks.
```

File: ./setup.py

File: ./main.py
```
main()
```

File: ./scripts/codesumma.sh
```
The code above defines a function called `prompt_args` which prompts the user for input on various code summarization options. The user can input a path to the code they want to summarize, choose whether or not to summarize the code, input file patterns to ignore, input file patterns to include in the full code, and input a traceback to find relevant code snippets for. The code also defines a maximum length for the summary in BPE tokens.
```

File: ./src/cache.py
```
hash_key(prompt_object)
load_cache()
save_cache(cache)
get_cache(prompt_object, cache)
set_cache(prompt_object, response, cache)
```

File: ./src/__init__.py

File: ./src/openai_api.py
```
call_openai_api(prompt, max_tokens, model)
estimate_tokens(string, encoding_name)
trim_string_to_token_limit(string, max_tokens)
```

File: ./src/summary.py
```
run_summary(args)
process_class(cls)
generate_summary_from_python_file(file_path)
summarize_directory(dir_path, ignore_patterns, print_full_patterns)
summarize_blocks(summary_blocks, max_tokens_out)
format_summary(summary)
split_file_summaries(file_summaries, max_chunk_tokens)
summarize_file_summaries(file_summaries, max_tokens_out)
summarize_file_hierarchy(file_hierarchy, max_tokens)
```

File: ./src/utils.py
```
parse_arguments()
is_github_url(url)
Class: FunctionInfo
__init__(self, name, args, return_type)
__str__(self)
__eq__(self, other)
get_function_info(func_def)
```

File: ./src/file_processing.py
```
get_file_hierarchy(path, prefix, ignore_patterns)
format_file_hierarchy(path, ignore_patterns)
get_ignore_patterns(input_path, ignore_patterns)
check_ignore_patterns(path, ignore_patterns)
get_all_code(dir_path, ignore_patterns)
```

File: ./src/traceback_parser.py
```
get_function_context(file_path, line_number)
get_line_context(file_path, line_number, context)
parse_traceback(tb_str)
format_parsed_traceback(parsed_traceback)
```

Context:

Directory Structure:
```
./
  .coveragerc
  .devcontainer/
      Dockerfile
      devcontainer.json
  .dockerignore
  .flake8
  .isort.cfg
  .pre-commit-config.yaml
  .sourcery.yaml
  BULLETIN.md
  CODE_OF_CONDUCT.md
  CONTRIBUTING.md
  Dockerfile
  README.md
  autogpt/
      __init__.py
      __main__.py
      agent/
          __init__.py
          agent.py
          agent_manager.py
      api_manager.py
      app.py
      chat.py
      cli.py
      commands/
          __init__.py
          analyze_code.py
          audio_text.py
          command.py
          execute_code.py
          file_operations.py
          git_operations.py
          google_search.py
          image_gen.py
          improve_code.py
          times.py
          twitter.py
          web_playwright.py
          web_requests.py
          web_selenium.py
      config/
          __init__.py
          ai_config.py
          config.py
      configurator.py
      js/
          overlay.js
      json_utils/
          __init__.py
          json_fix_general.py
          json_fix_llm.py
          llm_response_format_1.json
          utilities.py
      llm_utils.py
      logs.py
      main.py
      memory/
          __init__.py
          base.py
          local.py
          milvus.py
          no_memory.py
          pinecone.py
          redismem.py
          weaviate.py
      models/
          base_open_ai_plugin.py
      modelsinfo.py
      plugins.py
      processing/
          __init__.py
          html.py
          text.py
      prompts/
          __init__.py
          generator.py
          prompt.py
      setup.py
      singleton.py
      speech/
          __init__.py
          base.py
          brian.py
          eleven_labs.py
          gtts.py
          macos_tts.py
          say.py
      spinner.py
      token_counter.py
      types/
          openai.py
      url_utils/
          __init__.py
          validators.py
      utils.py
      workspace/
          __init__.py
          workspace.py
  azure.yaml.template
  benchmark/
      __init__.py
      benchmark_entrepreneur_gpt_with_difficult_user.py
  codecov.yml
  data_ingestion.py
  docker-compose.yml
  docs/
      code-of-conduct.md
      configuration/
          imagegen.md
          memory.md
          search.md
          voice.md
      contributing.md
      imgs/
          openai-api-key-billing-paid-account.png
      index.md
      plugins.md
      setup.md
      usage.md
  main.py
  mkdocs.yml
  plugin.png
  plugins/
      __PUT_PLUGIN_ZIPS_HERE__
  pyproject.toml
  requirements.txt
  run.bat
  run.sh
  run_continuous.bat
  run_continuous.sh
  scripts/
      __init__.py
      check_requirements.py
      install_plugin_deps.py
```

File Summary:
The Auto-GPT project is a tool that allows users to train their own language models using the OpenAI API. The project includes a number of files that set up the Azure API, install dependencies, format code, lint code, run tests, and so on. The project also includes a number of files that define the website, navigation, theme, and license for the project.
- The Auto-GPT Plugin Template can be used as a starting point for creating new plugins.
- The /docs/contributing.md file provides guidelines and best practices for contributing to Auto-GPT.
- The /docs/configuration/search.md file
The codebase defines a series of classes and methods for an AI agent. The agent interacts with a user via an interface, and uses a memory backend to store
The codebase consists of several files responsible for different tasks related to text-to-speech synthesis, prompt generation, and command execution. The main files and classes are:

- /autogpt/speech/macos_tts.py: MacOSTTS class responsible for synthesizing speech on macOS
- /autogpt/speech/say.py: say_text function responsible for synthesizing speech on all platforms
- /autogpt/speech/base.py: VoiceBase class responsible for synthesizing speech on all platforms
- /autogpt/prompts/generator.py: PromptGenerator class responsible for generating prompts
- /autogpt/commands/command.py: Command class responsible for representing individual commands, and CommandRegistry class responsible for managing all commands
- /autogpt/commands/web_requests.py: scrape_text and scrape_links functions responsible for scraping text and links from websites
- /autogpt/commands/file_operations.py: read_file, write_to_file, and delete_file functions responsible for reading, writing, and deleting files
- /autogpt/commands/execute_code.py: execute_python_file function responsible for executing Python code
- /scripts/check_requirements.py: main function responsible for checking requirements
- /scripts/install_plugin_deps.py: install_plugin_dependencies function responsible for installing plugin dependencies

Summary length: 5057 characters, 2319 tokens

**CodeSumma**
Hit enter for default

What is the path to the code you want to summarize?
Input Path (Default: .): 

Would you like to summarize the code? **Yes** will summarize the code, **No** will print out all code.
Summarize Code (Default: Yes): 

Are there any files patterns you want to ignore?
Ignore Patterns (Default: .git, .env, .pkl, pycache): 

Are there any files you need the full code for?
Full File Patterns (Default: None): 

Is there a traceback you'd like to find relevant code snippets for?
Enter the traceback (Default: None), press ENTER twice to finish:


How long can the summary be (in BPE tokens)?
Max Tokens Out (Default: 4096):

Context:

Directory Structure:
```
./
  .flake8
  README.md
  __init__.py
  main.py
  pyproject.toml
  requirements.txt
  scripts/
      codesumma.sh
  setup.py
  src/
      __init__.py
      cache.py
      file_processing.py
      openai_api.py
      summary.py
      traceback_parser.py
      utils.py
```

File Summary:
File: ./.flake8
```
This code is a configuration file for the `flake8` linter. It tells `flake8` to ignore certain files and directories (`.git`, `__pycache__`, `build`, `dist`) and to set the maximum line length to 88 characters.
```

File: ./requirements.txt

File: ./pyproject.toml
```
This is a codebase for a Python project called "CodeSumma." It requires the setuptools and wheel libraries, and has dependencies on Python 3.10, the OpenAI library, and the TikTok library. The project also uses the Python-Dotenv library for development.
```

File: ./__init__.py

File: ./README.md
```
CodeSumma is an AI-powered code summarization tool that streamlines the development process by generating concise, token-limited, summaries of Python codebases. By simplifying AI-assisted development, CodeSumma enables developers to easily
```

File: ./setup.py

File: ./main.py
```
main()
```

File: ./scripts/codesumma.sh
```
The code above is a Bash script that calls a Python script, `main.py`, with a variety of arguments. The `input_path` argument is the path to the code that will be summarized. The `all_arg` flag tells the Python script to print out all code. The `ignore_arg` flag tells the Python script to ignore certain files. The `full_file_patterns_arg` flag tells the Python script to print out the full code for certain files. The `traceback_arg` flag tells the Python script to find relevant code snippets for a traceback. The `max_tokens_out_arg` flag tells the Python script the maximum length of the summary.
```

File: ./src/cache.py
```
hash_key(prompt_object)
load_cache()
save_cache(cache)
get_cache(prompt_object, cache)
set_cache(prompt_object, response, cache)
```

File: ./src/__init__.py

File: ./src/openai_api.py
```
call_openai_api(prompt, max_tokens, model)
estimate_tokens(string, encoding_name)
trim_string_to_token_limit(string, max_tokens)
```

File: ./src/summary.py
```
run_summary(args)
process_class(cls)
generate_summary_from_python_file(file_path)
summarize_directory(dir_path, ignore_patterns, print_full_patterns)
summarize_blocks(summary_blocks, max_tokens_out)
format_summary(summary)
split_file_summaries(file_summaries, max_chunk_tokens)
summarize_file_summaries(file_summaries, max_tokens_out)
summarize_file_hierarchy(file_hierarchy, max_tokens)
```

File: ./src/utils.py
```
parse_arguments()
is_github_url(url)
Class: FunctionInfo
__init__(self, name, args, return_type)
__str__(self)
__eq__(self, other)
get_function_info(func_def)
```

File: ./src/file_processing.py
```
get_file_hierarchy(path, prefix, ignore_patterns)
format_file_hierarchy(path, ignore_patterns)
get_ignore_patterns(input_path, ignore_patterns)
check_ignore_patterns(path, ignore_patterns)
get_all_code(dir_path, ignore_patterns)
```

File: ./src/traceback_parser.py
```
get_function_context(file_path, line_number)
get_line_context(file_path, line_number, context)
parse_traceback(tb_str)
format_parsed_traceback(parsed_traceback)
```

Summary length: 3311 characters, 1181 tokens

**CodeSumma**
Hit enter for default

What is the path to the code you want to summarize?
Input Path (Default: .): tests/test_files

Would you like to summarize the code? **Yes** will summarize the code, **No** will print out all code.
Summarize Code (Default: Yes): 

Are there any files patterns you want to ignore?
Ignore Patterns (Default: .git, .env, .pkl, pycache): 

Are there any files you need the full code for?
Full File Patterns (Default: None): 

Is there a traceback you'd like to find relevant code snippets for?
Enter the traceback (Default: None), press ENTER twice to finish:
Traceback (most recent call last):
File "tests/test_files/test_file.py", line 5, in divide
return a / b
      ~~^~~
ZeroDivisionError: division by zero


How long can the summary be (in BPE tokens)?
Max Tokens Out (Default: 4096): 

CodeSumma
Context:

Directory Structure:
```
test_files/
  test_file.py
  test_file2.py
  traceback.txt
```

File Summary:
File: tests/test_files/traceback.txt

File: tests/test_files/test_file.py
```
add(a, b)
divide(a, b)
```

File: tests/test_files/test_file2.py
```
add(a, b)
subtract(a, b)
multiply(a, b)
divide(a, b)
modulus(a, b)
```


Traceback:
```
Traceback (most recent call last):
File "tests/test_files/test_file.py", line 5, in divide
return a / b
      ~~^~~
ZeroDivisionError: division by zero

```

Traceback Context:
```
File: tests/test_files/test_file.py
Line: 5
Function: divide
Summary: divide(a, b)
def divide(a, b):
```

Resolve this error.

Summary length: 663 characters, 291 tokens