Add debug option and refactor cli.py 🛠️

In this commit, we've added a debug option to the CLI, allowing users to enable langchain debug output. This should help with troubleshooting and understanding the inner workings of the program. We've also made some minor refactoring changes to improve code readability and maintainability. Keep up the good work! 👍

Author: TechNickAI

aicodebot/cli.py

@@ -13,7 +13,7 @@
 from rich.live import Live
 from rich.markdown import Markdown
 from rich.style import Style
-import click, datetime, json, openai, os, random, subprocess, sys, tempfile, webbrowser, yaml
+import click, datetime, json, langchain, openai, os, random, subprocess, sys, tempfile, webbrowser, yaml
 
 # ----------------------------- Default settings ----------------------------- #
 
@@ -33,8 +33,9 @@
 @click.group()
 @click.version_option(aicodebot_version, "--version", "-V")
 @click.help_option("--help", "-h")
-def cli():
-    pass
+@click.option("-d", "--debug", is_flag=True, help="Enable langchain debug output")
+def cli(debug):
+    langchain.debug = debug
 
 
 # ---------------------------------------------------------------------------- #
@@ -47,8 +48,8 @@ def cli():
 
 
 @cli.command()
-@click.option("-v", "--verbose", count=True)
 @click.option("-t", "--response-token-size", type=int, default=350)
+@click.option("-v", "--verbose", count=True)
 def alignment(response_token_size, verbose):
     """Get a message about Heart-Centered AI Alignment ❤ + 🤖."""
     setup_config()
@@ -439,7 +440,7 @@ def sidekick(request, verbose, response_token_size, files):
         with Live(Markdown(""), auto_refresh=True) as live:
             callback = RichLiveCallbackHandler(live, bot_style)
             llm.callbacks = [callback]  # a fresh callback handler for each question
-            response = chain.run({"task": human_input, "context": context})
+            chain.run({"task": human_input, "context": context})
 
         if request:
             # If we were given a request, then we only want to run once