├── .gitignore
├── .vscode
    └── settings.json
├── LICENSE
├── MANIFEST.in
├── Pipfile
├── Pipfile.lock
├── README.md
├── setup.py
└── src
    └── botsh
        ├── __init__.py
        ├── docker_exec.py
        ├── history.py
        ├── llm.py
        ├── logging.py
        ├── main.py
        ├── prompt.py
        ├── task_driver.py
        └── templates
            └── prompt.jinja2


/.gitignore:
--------------------------------------------------------------------------------
1 | output
2 | __pycache__
3 | transcripts
4 | *.egg-info
5 | dist
6 | build
7 | 


--------------------------------------------------------------------------------
/.vscode/settings.json:
--------------------------------------------------------------------------------
1 | {
2 |     "python.formatting.provider": "black"
3 | }


--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
 1 | MIT License
 2 | 
 3 | Copyright (c) 2023 Drifting in Space
 4 | 
 5 | Permission is hereby granted, free of charge, to any person obtaining a copy
 6 | of this software and associated documentation files (the "Software"), to deal
 7 | in the Software without restriction, including without limitation the rights
 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 | 
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 | 
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 | 


--------------------------------------------------------------------------------
/MANIFEST.in:
--------------------------------------------------------------------------------
1 | include src/botsh/templates/*.jinja2
2 | include Pipfile*
3 | 


--------------------------------------------------------------------------------
/Pipfile:
--------------------------------------------------------------------------------
 1 | [[source]]
 2 | url = "https://pypi.org/simple"
 3 | verify_ssl = true
 4 | name = "pypi"
 5 | 
 6 | [packages]
 7 | docker = "*"
 8 | openai = "*"
 9 | termcolor = "*"
10 | jinja2 = "*"
11 | structlog = "*"
12 | 
13 | [dev-packages]
14 | black = "*"
15 | twine = "*"
16 | 
17 | [requires]
18 | python_version = "3.10"
19 | 


--------------------------------------------------------------------------------
/Pipfile.lock:
--------------------------------------------------------------------------------
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  2 |     "_meta": {
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833 |             "version": "==0.11.1"
834 |         },
835 |         "pkginfo": {
836 |             "hashes": [
837 |                 "sha256:4b7a555a6d5a22169fcc9cf7bfd78d296b0361adad412a346c1226849af5e546",
838 |                 "sha256:8fd5896e8718a4372f0ea9cc9d96f6417c9b986e23a4d116dda26b62cc29d046"
839 |             ],
840 |             "markers": "python_version >= '3.6'",
841 |             "version": "==1.9.6"
842 |         },
843 |         "platformdirs": {
844 |             "hashes": [
845 |                 "sha256:d5b638ca397f25f979350ff789db335903d7ea010ab28903f57b27e1b16c2b08",
846 |                 "sha256:ebe11c0d7a805086e99506aa331612429a72ca7cd52a1f0d277dc4adc20cb10e"
847 |             ],
848 |             "markers": "python_version >= '3.7'",
849 |             "version": "==3.2.0"
850 |         },
851 |         "pygments": {
852 |             "hashes": [
853 |                 "sha256:77a3299119af881904cd5ecd1ac6a66214b6e9bed1f2db16993b54adede64094",
854 |                 "sha256:f7e36cffc4c517fbc252861b9a6e4644ca0e5abadf9a113c72d1358ad09b9500"
855 |             ],
856 |             "markers": "python_version >= '3.7'",
857 |             "version": "==2.15.0"
858 |         },
859 |         "readme-renderer": {
860 |             "hashes": [
861 |                 "sha256:cd653186dfc73055656f090f227f5cb22a046d7f71a841dfa305f55c9a513273",
862 |                 "sha256:f67a16caedfa71eef48a31b39708637a6f4664c4394801a7b0d6432d13907343"
863 |             ],
864 |             "markers": "python_version >= '3.7'",
865 |             "version": "==37.3"
866 |         },
867 |         "requests": {
868 |             "hashes": [
869 |                 "sha256:64299f4909223da747622c030b781c0d7811e359c37124b4bd368fb8c6518baa",
870 |                 "sha256:98b1b2782e3c6c4904938b84c0eb932721069dfdb9134313beff7c83c2df24bf"
871 |             ],
872 |             "markers": "python_version >= '3.7' and python_version < '4'",
873 |             "version": "==2.28.2"
874 |         },
875 |         "requests-toolbelt": {
876 |             "hashes": [
877 |                 "sha256:18565aa58116d9951ac39baa288d3adb5b3ff975c4f25eee78555d89e8f247f7",
878 |                 "sha256:62e09f7ff5ccbda92772a29f394a49c3ad6cb181d568b1337626b2abb628a63d"
879 |             ],
880 |             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
881 |             "version": "==0.10.1"
882 |         },
883 |         "rfc3986": {
884 |             "hashes": [
885 |                 "sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd",
886 |                 "sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c"
887 |             ],
888 |             "markers": "python_version >= '3.7'",
889 |             "version": "==2.0.0"
890 |         },
891 |         "rich": {
892 |             "hashes": [
893 |                 "sha256:540c7d6d26a1178e8e8b37e9ba44573a3cd1464ff6348b99ee7061b95d1c6333",
894 |                 "sha256:dc84400a9d842b3a9c5ff74addd8eb798d155f36c1c91303888e0a66850d2a15"
895 |             ],
896 |             "markers": "python_full_version >= '3.7.0'",
897 |             "version": "==13.3.3"
898 |         },
899 |         "six": {
900 |             "hashes": [
901 |                 "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926",
902 |                 "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"
903 |             ],
904 |             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
905 |             "version": "==1.16.0"
906 |         },
907 |         "tomli": {
908 |             "hashes": [
909 |                 "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc",
910 |                 "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"
911 |             ],
912 |             "markers": "python_version < '3.11'",
913 |             "version": "==2.0.1"
914 |         },
915 |         "twine": {
916 |             "hashes": [
917 |                 "sha256:929bc3c280033347a00f847236564d1c52a3e61b1ac2516c97c48f3ceab756d8",
918 |                 "sha256:9e102ef5fdd5a20661eb88fad46338806c3bd32cf1db729603fe3697b1bc83c8"
919 |             ],
920 |             "index": "pypi",
921 |             "version": "==4.0.2"
922 |         },
923 |         "urllib3": {
924 |             "hashes": [
925 |                 "sha256:8a388717b9476f934a21484e8c8e61875ab60644d29b9b39e11e4b9dc1c6b305",
926 |                 "sha256:aa751d169e23c7479ce47a0cb0da579e3ede798f994f5816a74e4f4500dcea42"
927 |             ],
928 |             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'",
929 |             "version": "==1.26.15"
930 |         },
931 |         "webencodings": {
932 |             "hashes": [
933 |                 "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78",
934 |                 "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"
935 |             ],
936 |             "version": "==0.5.1"
937 |         },
938 |         "zipp": {
939 |             "hashes": [
940 |                 "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b",
941 |                 "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"
942 |             ],
943 |             "markers": "python_version >= '3.7'",
944 |             "version": "==3.15.0"
945 |         }
946 |     }
947 | }
948 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
  1 | # `botsh`
  2 | 
  3 | [![PyPI version](https://badge.fury.io/py/botsh.svg)](https://badge.fury.io/py/botsh)
  4 | 
  5 | `botsh` attaches a chat agent to a Docker container running Ubuntu.
  6 | 
  7 | This effectively gives the agent access to the entire [APT](https://wiki.debian.org/Apt)
  8 | universe, while limiting its blast radius to the current directory (which gets mounted into the container).
  9 | 
 10 | ## Demo
 11 | 
 12 | This demo uses the prompt `create a sequence of 100 200x200 images which each contain a different number, and turn them into a 30fps video with ffmpeg`.
 13 | 
 14 | `botsh`:
 15 | 
 16 | - tries to run `imagemagick` and fails (because it is a fresh Ubuntu install)
 17 | - installs `imagemagick`
 18 | - attempts to run `ffmpeg` and fails
 19 | - installs `ffmpeg`
 20 | - attempts to turn frames into a video and fails (because it has not created them)
 21 | - writes a bash for-loop to generate 100 frames with `imagemagick`
 22 | - uses `ffmpeg` to convert them into a video
 23 | 
 24 | https://user-images.githubusercontent.com/46173/230953506-c8545345-c0a1-46b1-b937-458191fc2456.mp4
 25 | 
 26 | ## Setup
 27 | 
 28 | Install with:
 29 | 
 30 |     pip install botsh
 31 | 
 32 | `botsh` expects an OpenAI API key to be provided as the `OPENAI_API_KEY`
 33 | environment variable.
 34 | 
 35 | `botsh` also requires Docker to be running on the system.
 36 | 
 37 | ## Examples
 38 | 
 39 |     botsh "convert cat.jpg into a png file"
 40 | 
 41 |     botsh "use a remote service to find my public ip and base64 encode it"
 42 | 
 43 |     botsh "run pylint on the codebase in src/"
 44 | 
 45 | ## Additional details
 46 | 
 47 | `botsh` will create a bare Ubuntu Docker container associated with
 48 | the current directory, or create one if one does not exist. botsh
 49 | will then attach the OpenAI API to a shell running in the container
 50 | to attempt to complete the given task.
 51 | 
 52 | The AI is explicitly told that it is allowed to install software,
 53 | and will typically install programs as needed to complete its task.
 54 | Installed software remains confined to the container.
 55 | 
 56 | ## Observations
 57 | 
 58 | These observations relate to the default model, `text-davinci-003`. Using GPT-4 may improve things.
 59 | 
 60 | - It works best if you explicitly specify the files/paths you want to work with (use relative references).
 61 |   It is not good at figuring out what you mean.
 62 | - It often gets stuck in loops if it can't complete a task rather than giving up, despite the prompt
 63 |   telling it not to.
 64 | - It sometimes needs subtle encouragement to break a task down into multiple parts, instead of chaining together
 65 |   a long shell command, particularly when the command it wants to run has a bug. For example, instead of
 66 |   saying “convert foo.png to a gif and compute its md5 sum”, try “convert foo.png into a gif, and then compute
 67 |   its md5 sum”
 68 | 
 69 | ## Container re-use
 70 | 
 71 | When `botsh` is invoked, the current working directory is mounted
 72 | into the container and can be modified by programs the agent runs.
 73 | The filesystem outside of the current working directory is sealed
 74 | off from the container.
 75 | 
 76 | Each directory that you run `botsh` in will get its own container,
 77 | which is reused for future invocations of `botsh` in that container.
 78 | 
 79 | You can pass `--wipe` to discard the existing container and start a
 80 | new one before running your task. You can also pass `--rm` to remove
 81 | a container at the end of your task.
 82 | 
 83 | Containers are also removed if you purge containers in Docker with
 84 | `docker container prune`
 85 | 
 86 | ## Usage
 87 | 
 88 | ```
 89 | usage: botsh [-h] [--max-rounds MAX_ROUNDS] [--model MODEL] [--image IMAGE] [--shell-command SHELL_COMMAND] [--save-transcript] [--wipe] prompt
 90 | 
 91 | Task runner powered by OpenAI and Docker. Invoke botsh by providing a task as a command line argument. botsh will create a bare Ubuntu Docker container associated with the current directory, or create one if one does not exist. botsh will then attach the OpenAI API to a shell running in the container to attempt to complete the given task.
 92 | 
 93 | positional arguments:
 94 |   prompt                Prompt to execute.
 95 | 
 96 | options:
 97 |   -h, --help            show this help message and exit
 98 |   --max-rounds MAX_ROUNDS
 99 |   --model MODEL         OpenAI text completion model to use.
100 |   --image IMAGE         Docker image to use.The current hard-coded prompt works for Debian-derived distributions.
101 |   --shell-command SHELL_COMMAND
102 |                         Shell to invoke within the container.
103 |   --save-transcript     Save transcript to file
104 |   --wipe                Start with a fresh container even if one exists for this directory.
105 | ```
106 | 


--------------------------------------------------------------------------------
/setup.py:
--------------------------------------------------------------------------------
 1 | import json
 2 | from setuptools import setup, find_packages
 3 | 
 4 | with open("README.md", "r", encoding="utf-8") as fh:
 5 |     long_description = fh.read()
 6 | 
 7 | 
 8 | def load_requirements_from_pipfile_lock(dev: bool):
 9 |     with open("Pipfile.lock") as f:
10 |         pipfile_lock = json.load(f)
11 | 
12 |     if dev:
13 |         mode = "develop"
14 |     else:
15 |         mode = "default"
16 | 
17 |     return [
18 |         f"{pkg_name}{pkg_info['version']}"
19 |         for pkg_name, pkg_info in pipfile_lock[mode].items()
20 |     ]
21 | 
22 | 
23 | setup(
24 |     name="botsh",
25 |     version="0.1.7",
26 |     description="A task runner powered by OpenAI and Docker.",
27 |     long_description=long_description,
28 |     long_description_content_type="text/markdown",
29 |     author="Paul Butler",
30 |     author_email="paul@driftingin.space",
31 |     url="https://github.com/drifting-in-space/botsh",
32 |     packages=find_packages("src"),
33 |     package_data={
34 |         "": ["Pipfile", "Pipfile.lock"],
35 |     },
36 |     include_package_data=True,
37 |     package_dir={"": "src"},
38 |     classifiers=[
39 |         "Intended Audience :: Developers",
40 |         "License :: OSI Approved :: MIT License",
41 |         "Programming Language :: Python :: 3",
42 |         "Programming Language :: Python :: 3.6",
43 |         "Programming Language :: Python :: 3.7",
44 |         "Programming Language :: Python :: 3.8",
45 |         "Programming Language :: Python :: 3.9",
46 |     ],
47 |     python_requires=">=3.6",
48 |     install_requires=load_requirements_from_pipfile_lock(False),
49 |     extras_require={
50 |         "dev": load_requirements_from_pipfile_lock(True),
51 |     },
52 |     entry_points={
53 |         "console_scripts": [
54 |             "botsh=botsh.main:main",
55 |         ],
56 |     },
57 | )
58 | 


--------------------------------------------------------------------------------
/src/botsh/__init__.py:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/jamsocket/botsh/3f5411601628a014e5ba39f2cb2e80f5640e7618/src/botsh/__init__.py


--------------------------------------------------------------------------------
/src/botsh/docker_exec.py:
--------------------------------------------------------------------------------
  1 | import hashlib
  2 | import os
  3 | import shlex
  4 | 
  5 | import docker
  6 | from docker.types import Mount
  7 | from termcolor import colored
  8 | import platform
  9 | 
 10 | from botsh.logging import log
 11 | 
 12 | 
 13 | class DockerContainer:
 14 |     current_directory: str
 15 |     shell_command: str
 16 |     remove_on_exit: bool
 17 | 
 18 |     def __init__(
 19 |         self, image: str, shell_command: str, wipe: bool, remove_on_exit: bool
 20 |     ):
 21 |         self.remove_on_exit = remove_on_exit
 22 |         self.current_directory = os.getcwd()
 23 |         self.shell_command = shell_command
 24 |         dir_hash = hashlib.sha256(self.current_directory.encode("utf-8")).hexdigest()
 25 |         container_name = f"botsh-{dir_hash}"
 26 | 
 27 |         log.info("Connecting to Docker...")
 28 |         try:
 29 |             self.client = docker.from_env()
 30 |         except Exception as e:
 31 |             log.error("Error connecting to Docker. Is Docker running?", err=e)
 32 |             if platform.system() == "Linux":
 33 |                 log.info(
 34 |                     "You may need to follow these instructions: "
 35 |                     "https://docs.docker.com/engine/install/linux-postinstall/."
 36 |                 )
 37 |             exit(1)
 38 | 
 39 |         self._get_container(container_name, image, wipe)
 40 | 
 41 |     def _get_mounts(self) -> list[Mount]:
 42 |         mount = Mount(target="/work", source=self.current_directory, type="bind")
 43 | 
 44 |         return [mount]
 45 | 
 46 |     def _get_container(self, container_name: str, image: str, wipe: bool):
 47 |         try:
 48 |             log.info("Locating existing container...")
 49 |             container = self.client.containers.get(container_name)
 50 |             if not wipe:
 51 |                 log.info("Using existing container.")
 52 |                 if container.status != "running":
 53 |                     log.info("Starting container...")
 54 |                     container.start()
 55 |                 self.container = container
 56 |                 return
 57 |             else:
 58 |                 log.info("Terminating existing container.")
 59 |                 container.stop(timeout=0)
 60 |                 container.remove(force=True)
 61 |         except docker.errors.NotFound:
 62 |             log.info("No container exists, creating one.")
 63 | 
 64 |         log.info("Pulling image...")
 65 |         self.client.images.pull(image)
 66 | 
 67 |         mounts = self._get_mounts()
 68 | 
 69 |         log.info("Creating container...")
 70 |         container = self.client.containers.create(
 71 |             image,
 72 |             name=container_name,
 73 |             command=self.shell_command,
 74 |             tty=True,
 75 |             mounts=mounts,
 76 |             environment=["DEBIAN_FRONTEND=noninteractive"],
 77 |         )
 78 |         log.info("Starting container...")
 79 |         container.start()
 80 |         log.info("Updating apt-get...")
 81 |         self.container = container
 82 |         self.run_command("apt-get -qq update")
 83 | 
 84 |     def run_command(self, command: str, quiet: bool = False) -> tuple[int, str]:
 85 |         quoted_command = shlex.quote(command)
 86 | 
 87 |         exec = self.client.api.exec_create(
 88 |             self.container.id,
 89 |             f"{self.shell_command} -c {quoted_command}",
 90 |             workdir="/work",
 91 |         )
 92 |         exec_id = exec["Id"]
 93 | 
 94 |         output = self.client.api.exec_start(exec_id, stream=True)
 95 | 
 96 |         result = []
 97 |         for line in output:
 98 |             line = line.decode("utf-8")
 99 |             if not quiet:
100 |                 print(colored(line, "green"), end="")
101 |             result.append(line)
102 | 
103 |         exit_code = self.client.api.exec_inspect(exec_id)["ExitCode"]
104 | 
105 |         return exit_code, "".join(result)
106 | 
107 |     def __del__(self):
108 |         if hasattr(self, "container"):
109 |             log.info("Terminating container.")
110 |             self.container.stop(timeout=0)
111 |             if self.remove_on_exit:
112 |                 log.info("Removing container.")
113 |                 self.container.remove()
114 | 


--------------------------------------------------------------------------------
/src/botsh/history.py:
--------------------------------------------------------------------------------
 1 | class CommandExecution:
 2 |     explanation: str
 3 |     command: str
 4 |     result: str
 5 |     exit_code: int
 6 | 
 7 |     def __init__(self, explanation: str, command: str, result: str, exit_code: int):
 8 |         self.explanation = explanation
 9 |         self.command = command
10 |         self.result = result
11 |         self.exit_code = exit_code
12 | 


--------------------------------------------------------------------------------
/src/botsh/llm.py:
--------------------------------------------------------------------------------
 1 | import os
 2 | from datetime import datetime
 3 | 
 4 | import openai
 5 | 
 6 | from botsh.history import CommandExecution
 7 | from botsh.prompt import generate_prompt
 8 | 
 9 | 
10 | class LLM:
11 |     def __init__(self, model, save_transcript: bool = False):
12 |         self.model = model
13 |         self.save_transcript = save_transcript
14 |         self.count = 0
15 |         self.session_time = datetime.now().strftime("%Y%m%d-%H%M%S")
16 | 
17 |     def completion(self, task: str, history: list[CommandExecution]):
18 |         prompt = generate_prompt(task, history)
19 |         transcript_dirname = os.path.join(
20 |             os.getcwd(), "transcripts", self.session_time, str(self.count)
21 |         )
22 | 
23 |         if self.save_transcript:
24 |             os.makedirs(transcript_dirname, exist_ok=True)
25 |             with open(
26 |                 os.path.join(transcript_dirname, "request.txt"), "w", encoding="utf-8"
27 |             ) as f:
28 |                 f.write(prompt)
29 |             self.count += 1
30 | 
31 |         response = self._completion(prompt)
32 | 
33 |         if self.save_transcript:
34 |             with open(
35 |                 os.path.join(transcript_dirname, "response.txt"), "w", encoding="utf-8"
36 |             ) as f:
37 |                 f.write(response)
38 | 
39 |         return response
40 | 
41 |     def _completion(self, prompt):
42 |         response = openai.Completion.create(
43 |             engine=self.model,
44 |             prompt=prompt,
45 |             temperature=0.0,
46 |             max_tokens=100,
47 |             top_p=1,
48 |             frequency_penalty=0,
49 |             presence_penalty=0,
50 |             stop=["DONE", "OUTPUT:", "EXPLANATION:", "EXIT_CODE:"],
51 |         )
52 | 
53 |         return response.choices[0].text
54 | 


--------------------------------------------------------------------------------
/src/botsh/logging.py:
--------------------------------------------------------------------------------
1 | import structlog
2 | log = structlog.get_logger()
3 | 


--------------------------------------------------------------------------------
/src/botsh/main.py:
--------------------------------------------------------------------------------
 1 | """Task runner powered by OpenAI and Docker.
 2 | 
 3 | Invoke botsh by providing a task as a command line argument.
 4 | 
 5 | botsh will create a bare Ubuntu Docker container associated with
 6 | the current directory, or create one if one does not exist. botsh
 7 | will then attach the OpenAI API to a shell running in the container
 8 | to attempt to complete the given task.
 9 | """
10 | 
11 | import argparse
12 | from os import environ
13 | 
14 | from botsh.docker_exec import DockerContainer
15 | from botsh.llm import LLM
16 | from botsh.logging import log
17 | from botsh.task_driver import TaskDriver
18 | 
19 | 
20 | def main():
21 |     parser = argparse.ArgumentParser(description=__doc__)
22 |     parser.add_argument("prompt", help="Prompt to execute.")
23 |     parser.add_argument("--max-rounds", type=int, default=10)
24 |     parser.add_argument(
25 |         "--model",
26 |         default="text-davinci-003",
27 |         help="OpenAI text completion model to use.",
28 |     )
29 |     parser.add_argument(
30 |         "--image",
31 |         default="ubuntu:latest",
32 |         help="Docker image to use."
33 |         "The current hard-coded prompt works for Debian-derived distributions.",
34 |     )
35 |     parser.add_argument(
36 |         "--shell-command",
37 |         default="/bin/bash",
38 |         help="Shell to invoke within the container.",
39 |     )
40 |     parser.add_argument(
41 |         "--save-transcript", action="store_true", help="Save transcript to file"
42 |     )
43 |     parser.add_argument(
44 |         "--wipe",
45 |         action="store_true",
46 |         help="Start with a fresh container even if one exists for this directory.",
47 |     )
48 |     parser.add_argument(
49 |         "--rm",
50 |         action="store_true",
51 |         help="Remove the container after the task is complete.",
52 |     )
53 |     args = parser.parse_args()
54 | 
55 |     if "OPENAI_API_KEY" not in environ:
56 |         log.error(
57 |             "OpenAI API key not found."
58 |             "Please set the OPENAI_API_KEY environment variable."
59 |         )
60 |         return
61 | 
62 |     llm = LLM(args.model, save_transcript=args.save_transcript)
63 |     container = DockerContainer(
64 |         args.image, args.shell_command, wipe=args.wipe, remove_on_exit=args.rm
65 |     )
66 |     task_runner = TaskDriver(args.prompt, container, llm)
67 | 
68 |     try:
69 |         for _ in range(args.max_rounds):
70 |             result = task_runner.step()
71 |             if result:
72 |                 break
73 |         else:
74 |             log.warning(
75 |                 "Task did not complete, stopped after reaching its round limit. "
76 |                 "Usually this means it got stuck, but you can try passing a higher "
77 |                 "value to --max-rounds.",
78 |                 max_rounds=args.max_rounds,
79 |             )
80 |     except KeyboardInterrupt:
81 |         log.warning("Task interrupted by user.")
82 |     except EOFError:
83 |         log.warning("Task interrupted by user.")
84 | 
85 | 
86 | if __name__ == "__main__":
87 |     main()
88 | 


--------------------------------------------------------------------------------
/src/botsh/prompt.py:
--------------------------------------------------------------------------------
 1 | from jinja2 import Environment, PackageLoader
 2 | 
 3 | from botsh.history import CommandExecution
 4 | from botsh.logging import log
 5 | 
 6 | ENV = Environment(loader=PackageLoader("botsh", "templates"))
 7 | TEMPLATE = ENV.get_template("prompt.jinja2")
 8 | 
 9 | PROMPT_TRAILER = "EXPLANATION:"
10 | COMMAND_TRAILER = "COMMAND:"
11 | 
12 | def generate_prompt(task: str, history: list[CommandExecution]) -> str:
13 |     return (
14 |         TEMPLATE.render(
15 |             task=task,
16 |             history=history,
17 |         )
18 |         + PROMPT_TRAILER
19 |     )
20 | 
21 | 
22 | class Response:
23 |     def __init__(self, command, explanation):
24 |         self.command = command
25 |         self.explanation = explanation
26 |     
27 |     command = None
28 |     explanation = None
29 | 
30 | 
31 | def parse_response(response: str) -> dict[str, str]:
32 |     lines = iter(response.splitlines())
33 |     explanation = next(lines, "")
34 | 
35 |     command = ""
36 |     command_line = next(lines, "")
37 |     if command_line.startswith(COMMAND_TRAILER):
38 |         command = command_line[len(COMMAND_TRAILER) + 1 :]
39 |     else:
40 |         log.warning(
41 |             "Expected a command, got this instead.", command_line=command_line
42 |         )
43 | 
44 |     for line in lines:
45 |         command += line.strip()
46 | 
47 |     return Response(command=command, explanation=explanation)
48 | 


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/src/botsh/task_driver.py:
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 1 | from botsh.docker_exec import DockerContainer
 2 | from botsh.history import CommandExecution
 3 | from botsh.llm import LLM
 4 | from botsh.logging import log
 5 | from botsh.prompt import parse_response
 6 | 
 7 | 
 8 | class TaskDriver:
 9 |     history: list[CommandExecution]
10 |     task: str
11 |     container: DockerContainer
12 |     llm: LLM
13 | 
14 |     def __init__(self, task: str, container: DockerContainer, llm: LLM):
15 |         self.task = task
16 |         self.llm = llm
17 |         self.container = container
18 |         self.history = list()
19 | 
20 |         # Run a few commands. These serve both to orient the agent, and to
21 |         # provide some examples of what we want.
22 |         self.run_command_and_add_to_history(
23 |             "I would like to know five files in the current directory.",
24 |             "ls -al | head -n 5",
25 |             True,
26 |         )
27 | 
28 |         self.run_command_and_add_to_history(
29 |             "I would like to know which directory I am in.", "pwd", True
30 |         )
31 | 
32 |     def run_command_and_add_to_history(
33 |         self, explanation: str, command: str, quiet: bool = False
34 |     ):
35 |         exit_code, output = self.container.run_command(command, quiet)
36 |         self.history.append(CommandExecution(explanation, command, output, exit_code))
37 |         return output
38 | 
39 |     def step(self):
40 |         response = self.llm.completion(self.task, self.history)
41 | 
42 |         result = parse_response(response)
43 | 
44 |         if result.command == "":
45 |             log.info(
46 |                 "Agent indicated that the task is complete.",
47 |                 explanation=result.explanation,
48 |             )
49 |             return True
50 |         else:
51 |             log.info(
52 |                 "Agent requested a command.",
53 |                 command=result.command,
54 |                 explanation=result.explanation,
55 |             )
56 | 
57 |         exit_code, output = self.container.run_command(result.command)
58 |         lines = output.splitlines()
59 |         if len(lines) > 10:
60 |             truncated = len(lines) - 10
61 |             output = (
62 |                 f"[ {truncated} lines truncated ]"
63 |                 + "\n".join(lines[-10:])
64 |                 + "\n[...]\n"
65 |             )
66 | 
67 |         self.history.append(
68 |             CommandExecution(result.explanation, result.command, output, exit_code)
69 |         )
70 | 


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/src/botsh/templates/prompt.jinja2:
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 1 | You are given a task to accomplish by running commands in a Bash shell on Ubuntu Linux.
 2 | 
 3 | If you get a "command not found" error, you should install that software using `apt-get -qq`. Do not run software that requires user interaction.
 4 | 
 5 | Any files referenced in the prompt are relative to the current directory. If you need to write a temporary file, write it to /tmp.
 6 | 
 7 | Answer in the format:
 8 | 
 9 | EXPLANATION: explain why you are running the command
10 | COMMAND: the command you are running
11 | 
12 | When you have completed the task or get stuck, respond with an empty COMMAND.
13 | 
14 | If you think the task is impossible, explain your reasoning in the EXPLANATION and return an empty COMMAND. If a command fails, DO NOT repeat it.
15 | 
16 | The task you are trying to accomplish is:
17 | 
18 | {{task}}
19 | 
20 | {% for exec in history %}
21 | EXPLANATION: {{exec.explanation}}
22 | COMMAND: {{exec.command}}
23 | OUTPUT: {% if exec.result|length > 1024 %}[{{exec.result|length - 1024}} characters snipped]
24 | {{exec.result[-1024:]}}{% else %}{{exec.result}}{% endif %}
25 | EXIT_CODE: {{exec.exit_code}} {% if exec.exit_code == 0 %}OK{% else %}FAIL{% endif %}
26 | {% endfor %}
27 | 


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