- Brings back debug mode
- Replaces all calls from cfg.debug to cfg.debug_mode that was updated on 5b2d6010dc
- Remove unnecessary config instance at main.py
This commit is contained in:
vadi
2023-04-12 16:32:13 +10:00
parent 4621df02c7
commit bc6f34d7dc
3 changed files with 8 additions and 4 deletions

View File

@@ -64,14 +64,14 @@ def chat_with_ai(
model = cfg.fast_llm_model # TODO: Change model from hardcode to argument
# Reserve 1000 tokens for the response
if cfg.debug:
if cfg.debug_mode:
print(f"Token limit: {token_limit}")
send_token_limit = token_limit - 1000
relevant_memory = permanent_memory.get_relevant(str(full_message_history[-5:]), 10)
if cfg.debug:
if cfg.debug_mode:
print('Memory Stats: ', permanent_memory.get_stats())
next_message_to_add_index, current_tokens_used, insertion_index, current_context = generate_context(
@@ -110,7 +110,7 @@ def chat_with_ai(
# assert tokens_remaining >= 0, "Tokens remaining is negative. This should never happen, please submit a bug report at https://www.github.com/Torantulino/Auto-GPT"
# Debug print the current context
if cfg.debug:
if cfg.debug_mode:
print(f"Token limit: {token_limit}")
print(f"Send Token Count: {current_tokens_used}")
print(f"Tokens remaining for response: {tokens_remaining}")

View File

@@ -91,7 +91,7 @@ def fix_json(json_str: str, schema: str) -> str:
result_string = call_ai_function(
function_string, args, description_string, model=cfg.fast_llm_model
)
if cfg.debug:
if cfg.debug_mode:
print("------------ JSON FIX ATTEMPT ---------------")
print(f"Original JSON: {json_str}")
print("-----------")

View File

@@ -266,6 +266,7 @@ def prompt_user():
def parse_arguments():
"""Parses the arguments passed to the script"""
global cfg
cfg.set_debug_mode(False)
cfg.set_continuous_mode(False)
cfg.set_speak_mode(False)
@@ -292,6 +293,9 @@ def parse_arguments():
print_to_console("GPT3.5 Only Mode: ", Fore.GREEN, "ENABLED")
cfg.set_smart_llm_model(cfg.fast_llm_model)
if args.debug:
print_to_console("Debug Mode: ", Fore.GREEN, "ENABLED")
cfg.set_debug_mode(True)
# TODO: fill in llm values here