Agent loop v2: Planning & Task Management (part 1: refactoring) (#4799)

* 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>

tests/integration/test_execute_code.py

@@ -37,7 +37,7 @@ def test_execute_python_file(python_test_file: str, random_string: str, agent: A
 
 
 def test_execute_python_code(random_code: str, random_string: str, agent: Agent):
-    ai_name = agent.ai_name
+    ai_name = agent.ai_config.ai_name
 
     result: str = sut.execute_python_code(random_code, "test_code", agent=agent)
     assert result.replace("\r", "") == f"Hello {random_string}!\n"
@@ -65,7 +65,7 @@ def test_execute_python_code_disallows_name_arg_path_traversal(
 
 
 def test_execute_python_code_overwrites_file(random_code: str, agent: Agent):
-    ai_name = agent.ai_name
+    ai_name = agent.ai_config.ai_name
     destination = os.path.join(
         agent.config.workspace_path, ai_name, "executed_code", "test_code.py"
     )