mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-18 22:44:21 +01:00
db95d4cb84
* Move rename module `agent` -> `agents`
* WIP: abstract agent structure into base class and port Agent
* Move command arg path sanitization to decorator
* Add fallback token limit in llm.utils.create_chat_completion
* Rebase `MessageHistory` class on `ChatSequence` class
* Fix linting
* Consolidate logging modules
* Wham Bam Boom
* Fix tests & linting complaints
* Update Agent class docstring
* Fix Agent import in autogpt.llm.providers.openai
* Fix agent kwarg in test_execute_code.py
* Fix benchmarks.py
* Clean up lingering Agent(ai_name=...) initializations
* Fix agent kwarg
* Make sanitize_path_arg decorator more robust
* Fix linting
* Fix command enabling lambda's
* Use relative paths in file ops logger
* Fix test_execute_python_file_not_found
* Fix Config model validation breaking on .plugins
* Define validator for Config.plugins
* Fix Config model issues
* Fix agent iteration budget in testing
* Fix declaration of context_while_think
* Fix Agent.parse_and_process_response signature
* Fix Agent cycle_budget usages
* Fix budget checking in BaseAgent.__next__
* Fix cycle budget initialization
* Fix function calling in BaseAgent.think()
* Include functions in token length calculation
* Fix Config errors
* Add debug thing to patched_api_requestor to investigate HTTP 400 errors
* If this works I'm gonna be sad
* Fix BaseAgent cycle budget logic and document attributes
* Document attributes on `Agent`
* Fix import issues between Agent and MessageHistory
* Improve typing
* Extract application code from the agent (#4982)
* Extract application code from the agent
* Wrap interaction loop in a function and call in benchmarks
* Forgot the important function call
* Add docstrings and inline comments to run loop
* Update typing and docstrings in agent
* Docstring formatting
* Separate prompt construction from on_before_think
* Use `self.default_cycle_instruction` in `Agent.think()`
* Fix formatting
* hot fix the SIGINT handler (#4997)
The signal handler in the autogpt/main.py doesn't work properly because
of the clean_input(...) func. This commit remedies this issue. The issue
is mentioned in
3966cdfd69 (r1264278776)
* Update the sigint handler to be smart enough to actually work (#4999)
* Update the sigint handler to be smart enough to actually work
* Update autogpt/main.py
Co-authored-by: Reinier van der Leer <github@pwuts.nl>
* Can still use context manager
* Merge in upstream
---------
Co-authored-by: Reinier van der Leer <github@pwuts.nl>
* Fix CI
* Fix initial prompt construction
* off by one error
* allow exit/EXIT to shut down app
* Remove dead code
---------
Co-authored-by: collijk <collijk@uw.edu>
Co-authored-by: Cyrus <39694513+cyrus-hawk@users.noreply.github.com>
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
from autogpt.agents import Agent
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from autogpt.config import AIConfig, Config, ConfigBuilder
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from autogpt.main import COMMAND_CATEGORIES, run_interaction_loop
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from autogpt.memory.vector import get_memory
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from autogpt.models.command_registry import CommandRegistry
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from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT
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from autogpt.workspace import Workspace
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def run_task(task) -> None:
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agent = bootstrap_agent(task)
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run_interaction_loop(agent)
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def bootstrap_agent(task):
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config = ConfigBuilder.build_config_from_env()
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config.continuous_mode = False
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config.temperature = 0
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config.plain_output = True
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command_registry = get_command_registry(config)
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config.memory_backend = "no_memory"
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workspace_directory = Workspace.get_workspace_directory(config)
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workspace_directory_path = Workspace.make_workspace(workspace_directory)
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Workspace.build_file_logger_path(config, workspace_directory_path)
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ai_config = AIConfig(
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ai_name="Auto-GPT",
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ai_role="a multi-purpose AI assistant.",
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ai_goals=[task.user_input],
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)
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ai_config.command_registry = command_registry
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return Agent(
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memory=get_memory(config),
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command_registry=command_registry,
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ai_config=ai_config,
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config=config,
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triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
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workspace_directory=str(workspace_directory_path),
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)
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def get_command_registry(config: Config):
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command_registry = CommandRegistry()
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enabled_command_categories = [
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x for x in COMMAND_CATEGORIES if x not in config.disabled_command_categories
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]
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for command_category in enabled_command_categories:
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command_registry.import_commands(command_category)
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return command_registry
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