mirror of
https://github.com/Significant-Gravitas/AutoGPT.git
synced 2026-04-08 03:00:28 -04:00
feat(rnd): Add template of the next gen autogpt project (#7162)
* feat(rnd): Add template of the next gen autogpt project * fix(rnd): fix typo * fix(rnd): typo * Added multi-processor arch * feat(rnd) add bi-direction communication * Updated project structure
This commit is contained in:
27
rnd/nextgenautogpt/README.md
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27
rnd/nextgenautogpt/README.md
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# Next Gen AutoGPT
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This is a research project into creating the next generation of autogpt, which is an autogpt agent server.
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It will come with the AutoGPT Agent as the default agent
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## Project Outline
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```
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.
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├── READEME.md
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├── nextgenautogpt
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│ ├── __init__.py
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│ ├── __main__.py
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│ ├── cli.py # The CLI tool for running the system
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│ ├── executor # The Component Executor Process
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│ │ └── __init__.py
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│ ├── manager # The Agent Manager it manages a pool of executors and schedules components to run
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│ │ └── __init__.py
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│ └── server # The main application. It includes the api server and additional modules
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│ └── __init__.py
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└── pyproject.toml
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```
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0
rnd/nextgenautogpt/nextgenautogpt/__init__.py
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0
rnd/nextgenautogpt/nextgenautogpt/__init__.py
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39
rnd/nextgenautogpt/nextgenautogpt/__main__.py
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rnd/nextgenautogpt/nextgenautogpt/__main__.py
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import multiprocessing as mp
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from typing import Any
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import nextgenautogpt.manager.manager as mod_manager
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import nextgenautogpt.server.server as mod_server
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def main() -> None:
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# Create queues/pipes for communication
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server_to_manager: mp.Queue[Any] = mp.Queue()
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manager_to_server: mp.Queue[Any] = mp.Queue()
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# Create and start server process
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server: mp.Process = mp.Process(
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target=mod_server.run_server,
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args=(
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server_to_manager,
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manager_to_server,
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),
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)
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server.start()
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# Create and start manager process
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manager: mp.Process = mp.Process(
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target=mod_manager.run_manager,
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args=(
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server_to_manager,
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manager_to_server,
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),
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)
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manager.start()
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server.join()
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manager.join()
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if __name__ == "__main__":
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mp.set_start_method("spawn")
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main()
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0
rnd/nextgenautogpt/nextgenautogpt/cli.py
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0
rnd/nextgenautogpt/nextgenautogpt/cli.py
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rnd/nextgenautogpt/nextgenautogpt/executor/executor.py
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rnd/nextgenautogpt/nextgenautogpt/executor/executor.py
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import multiprocessing as mp
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import time
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from typing import Any
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def run_executor(manager_to_executor: mp.Queue, executors_to_manager: mp.Queue) -> None:
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# Each executor process will run this initializer
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print("Executor process started")
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while True:
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if not manager_to_executor.empty():
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task = manager_to_executor.get()
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print(f"Executor processing: {task}")
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executors_to_manager.put("Task completed")
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# Simulate executor work
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time.sleep(1)
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rnd/nextgenautogpt/nextgenautogpt/manager/manager.py
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rnd/nextgenautogpt/nextgenautogpt/manager/manager.py
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import multiprocessing as mp
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import time
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import nextgenautogpt.executor.executor as mod_executor
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def run_manager(server_to_manager: mp.Queue, manager_to_server: mp.Queue) -> None:
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# Create queue for communication between manager and executors
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print("Manager process started")
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manager_to_executor = mp.Queue()
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executors_to_manager = mp.Queue()
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# Create and start a pool of executor processes
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with mp.Pool(
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processes=5,
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initializer=mod_executor.run_executor,
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initargs=(
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manager_to_executor,
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executors_to_manager,
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),
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):
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while True:
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if not server_to_manager.empty():
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message = server_to_manager.get()
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print(f"Manager received: {message}")
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manager_to_server.put("Manager: Received message from server")
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manager_to_executor.put("Task for executor")
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# Simulate manager work
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time.sleep(1)
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if not executors_to_manager.empty():
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message = executors_to_manager.get()
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print(f"Manager received: {message}")
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# Simulate manager work
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time.sleep(1)
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rnd/nextgenautogpt/nextgenautogpt/server/server.py
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rnd/nextgenautogpt/nextgenautogpt/server/server.py
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import multiprocessing as mp
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import time
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from typing import Any
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def run_server(server_to_manager: mp.Queue, manager_to_server: mp.Queue) -> None:
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print("Server process started")
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while True:
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message = "Message from server"
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server_to_manager.put(message)
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# Simulate server work
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time.sleep(1)
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if not manager_to_server.empty():
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message = manager_to_server.get()
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print(f"Server received: {message}")
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# Simulate server work
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time.sleep(1)
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163
rnd/nextgenautogpt/poetry.lock
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rnd/nextgenautogpt/poetry.lock
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# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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description = "Reusable constraint types to use with typing.Annotated"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
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{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
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]
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[[package]]
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name = "click"
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version = "8.1.7"
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description = "Composable command line interface toolkit"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
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]
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[package.dependencies]
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colorama = {version = "*", markers = "platform_system == \"Windows\""}
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[[package]]
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name = "colorama"
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version = "0.4.6"
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description = "Cross-platform colored terminal text."
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
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files = [
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{file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
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{file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
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]
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[[package]]
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name = "pydantic"
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version = "2.7.1"
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description = "Data validation using Python type hints"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "pydantic-2.7.1-py3-none-any.whl", hash = "sha256:e029badca45266732a9a79898a15ae2e8b14840b1eabbb25844be28f0b33f3d5"},
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{file = "pydantic-2.7.1.tar.gz", hash = "sha256:e9dbb5eada8abe4d9ae5f46b9939aead650cd2b68f249bb3a8139dbe125803cc"},
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]
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[package.dependencies]
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annotated-types = ">=0.4.0"
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pydantic-core = "2.18.2"
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typing-extensions = ">=4.6.1"
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[package.extras]
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email = ["email-validator (>=2.0.0)"]
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[[package]]
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name = "pydantic-core"
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version = "2.18.2"
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description = "Core functionality for Pydantic validation and serialization"
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optional = false
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python-versions = ">=3.8"
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files = [
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||||
{file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4774f3184d2ef3e14e8693194f661dea5a4d6ca4e3dc8e39786d33a94865cefd"},
|
||||
{file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d4d938ec0adf5167cb335acb25a4ee69a8107e4984f8fbd2e897021d9e4ca21b"},
|
||||
{file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e0e8b1be28239fc64a88a8189d1df7fad8be8c1ae47fcc33e43d4be15f99cc70"},
|
||||
{file = "pydantic_core-2.18.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:868649da93e5a3d5eacc2b5b3b9235c98ccdbfd443832f31e075f54419e1b96b"},
|
||||
{file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:78363590ef93d5d226ba21a90a03ea89a20738ee5b7da83d771d283fd8a56761"},
|
||||
{file = "pydantic_core-2.18.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:852e966fbd035a6468fc0a3496589b45e2208ec7ca95c26470a54daed82a0788"},
|
||||
{file = "pydantic_core-2.18.2-cp38-none-win32.whl", hash = "sha256:6a46e22a707e7ad4484ac9ee9f290f9d501df45954184e23fc29408dfad61350"},
|
||||
{file = "pydantic_core-2.18.2-cp38-none-win_amd64.whl", hash = "sha256:d91cb5ea8b11607cc757675051f61b3d93f15eca3cefb3e6c704a5d6e8440f4e"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:ae0a8a797a5e56c053610fa7be147993fe50960fa43609ff2a9552b0e07013e8"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:042473b6280246b1dbf530559246f6842b56119c2926d1e52b631bdc46075f2a"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a388a77e629b9ec814c1b1e6b3b595fe521d2cdc625fcca26fbc2d44c816804"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e25add29b8f3b233ae90ccef2d902d0ae0432eb0d45370fe315d1a5cf231004b"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f459a5ce8434614dfd39bbebf1041952ae01da6bed9855008cb33b875cb024c0"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eff2de745698eb46eeb51193a9f41d67d834d50e424aef27df2fcdee1b153845"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8309f67285bdfe65c372ea3722b7a5642680f3dba538566340a9d36e920b5f0"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f93a8a2e3938ff656a7c1bc57193b1319960ac015b6e87d76c76bf14fe0244b4"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:22057013c8c1e272eb8d0eebc796701167d8377441ec894a8fed1af64a0bf399"},
|
||||
{file = "pydantic_core-2.18.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cfeecd1ac6cc1fb2692c3d5110781c965aabd4ec5d32799773ca7b1456ac636b"},
|
||||
{file = "pydantic_core-2.18.2-cp39-none-win32.whl", hash = "sha256:0d69b4c2f6bb3e130dba60d34c0845ba31b69babdd3f78f7c0c8fae5021a253e"},
|
||||
{file = "pydantic_core-2.18.2-cp39-none-win_amd64.whl", hash = "sha256:d9319e499827271b09b4e411905b24a426b8fb69464dfa1696258f53a3334641"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a1874c6dd4113308bd0eb568418e6114b252afe44319ead2b4081e9b9521fe75"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:ccdd111c03bfd3666bd2472b674c6899550e09e9f298954cfc896ab92b5b0e6d"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e18609ceaa6eed63753037fc06ebb16041d17d28199ae5aba0052c51449650a9"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e5c584d357c4e2baf0ff7baf44f4994be121e16a2c88918a5817331fc7599d7"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:43f0f463cf89ace478de71a318b1b4f05ebc456a9b9300d027b4b57c1a2064fb"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:e1b395e58b10b73b07b7cf740d728dd4ff9365ac46c18751bf8b3d8cca8f625a"},
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||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:0098300eebb1c837271d3d1a2cd2911e7c11b396eac9661655ee524a7f10587b"},
|
||||
{file = "pydantic_core-2.18.2-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:36789b70d613fbac0a25bb07ab3d9dba4d2e38af609c020cf4d888d165ee0bf3"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3f9a801e7c8f1ef8718da265bba008fa121243dfe37c1cea17840b0944dfd72c"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:3a6515ebc6e69d85502b4951d89131ca4e036078ea35533bb76327f8424531ce"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:20aca1e2298c56ececfd8ed159ae4dde2df0781988c97ef77d5c16ff4bd5b400"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:223ee893d77a310a0391dca6df00f70bbc2f36a71a895cecd9a0e762dc37b349"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2334ce8c673ee93a1d6a65bd90327588387ba073c17e61bf19b4fd97d688d63c"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:cbca948f2d14b09d20268cda7b0367723d79063f26c4ffc523af9042cad95592"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b3ef08e20ec49e02d5c6717a91bb5af9b20f1805583cb0adfe9ba2c6b505b5ae"},
|
||||
{file = "pydantic_core-2.18.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:c6fdc8627910eed0c01aed6a390a252fe3ea6d472ee70fdde56273f198938374"},
|
||||
{file = "pydantic_core-2.18.2.tar.gz", hash = "sha256:2e29d20810dfc3043ee13ac7d9e25105799817683348823f305ab3f349b9386e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.11.0"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
|
||||
{file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
|
||||
]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "37f738f9702fe6c311bc32b3ccbd182c35a6a612c5866def9e8fc14dfbf058a5"
|
||||
16
rnd/nextgenautogpt/pyproject.toml
Normal file
16
rnd/nextgenautogpt/pyproject.toml
Normal file
@@ -0,0 +1,16 @@
|
||||
[tool.poetry]
|
||||
name = "rnd"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["SwiftyOS <craigswift13@gmail.com>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10"
|
||||
click = "^8.1.7"
|
||||
pydantic = "^2.7.1"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
Reference in New Issue
Block a user