github/AutoGPT
1
1
Fork 0
mirror of https://github.com/Significant-Gravitas/AutoGPT.git synced 2026-01-09 15:17:59 -05:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'Torantulino:master' into more_azure

Browse Source
This commit is contained in:
Peter Edwards
2023-04-12 09:18:17 +02:00
committed by GitHub
parent 23f46adc61 e4bb730826
commit 17b037faf7
4 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@@ -3,7 +3,7 @@
![Twitter Follow](https://img.shields.io/twitter/follow/siggravitas?style=social)
[![](https://dcbadge.vercel.app/api/server/PQ7VX6TY4t?style=flat)](https://discord.gg/PQ7VX6TY4t)
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, autonomously develops and manages businesses to increase net worth. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.
Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM "thoughts", to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.
### Demo (30/03/2023):
https://user-images.githubusercontent.com/22963551/228855501-2f5777cf-755b-4407-a643-c7299e5b6419.mp4

6
scripts/chat.py
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}")

4
scripts/json_parser.py
View File

@@ -53,7 +53,7 @@ def fix_and_parse_json(
last_brace_index = json_str.rindex("}")
json_str = json_str[:last_brace_index+1]
return json.loads(json_str)
except json.JSONDecodeError as e: # noqa: F841
except (json.JSONDecodeError, ValueError) as e: # noqa: F841
if try_to_fix_with_gpt:
print("Warning: Failed to parse AI output, attempting to fix."
"\n If you see this warning frequently, it's likely that"
@@ -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("-----------")

2
scripts/main.py
View File

@@ -170,7 +170,7 @@ def load_variables(config_file="config.yaml"):
documents = yaml.dump(config, file)
prompt = data.load_prompt()
prompt_start = """Your decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications."""
prompt_start = """Your decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM and pursue simple strategies with no legal complications."""
# Construct full prompt
full_prompt = f"You are {ai_name}, {ai_role}\n{prompt_start}\n\nGOALS:\n\n"