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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| name: Build and publish multi-arch container images | ||
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| on: | ||
| push: | ||
| branches: [ main ] | ||
| workflow_dispatch: | ||
| inputs: | ||
| reason: | ||
| description: 'Why manual trigger?' | ||
| required: false | ||
| default: '' | ||
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| jobs: | ||
| ghcr_build_and_push: | ||
| runs-on: ubuntu-latest | ||
| if: github.event_name == 'push' | ||
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| steps: | ||
| - name: checkout | ||
| uses: actions/checkout@v4 | ||
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| - name: Set up QEMU | ||
| uses: docker/setup-qemu-action@v3 | ||
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| - name: Set up Docker Buildx | ||
| id: buildx | ||
| uses: docker/setup-buildx-action@v3 | ||
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| - name: Log-in to ghcr.io | ||
| run: echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u ${{ github.actor }} --password-stdin | ||
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| - name: Build and push multi-arch container images | ||
| run: | | ||
| # set env for fork repo | ||
| DOCKER_BUILD_ORG=$(echo "${{ github.repository }}" | tr '[A-Z]' '[a-z]' | cut -d '/' -f 1) | ||
| # Find directories containing Dockerfile but not containing .dockerfileignore | ||
| while IFS= read -r dockerfile_dir; do | ||
| # Check if .dockerfileignore exists in the directory | ||
| if [ ! -f "$dockerfile_dir/.dockerfileignore" ]; then | ||
| # Change directory and execute 'make all' | ||
| pushd "$dockerfile_dir" > /dev/null | ||
| make all DOCKER_BUILD_ORG=$DOCKER_BUILD_ORG | ||
| popd > /dev/null | ||
| fi | ||
| done < <(find . -type f -name Dockerfile -exec dirname {} \; | sort -u) |
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@@ -191,3 +191,4 @@ yarn-error.log* | |
| # agent | ||
| .envrc | ||
| /workspace | ||
| /debug | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,128 +1,4 @@ | ||
| import os | ||
| import re | ||
| from typing import List, Mapping | ||
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| from opendevin.agent import Agent | ||
| from opendevin.state import State | ||
| from opendevin.action import ( | ||
| Action, | ||
| CmdRunAction, | ||
| AgentEchoAction, | ||
| AgentFinishAction, | ||
| ) | ||
| from opendevin.observation import ( | ||
| CmdOutputObservation, | ||
| AgentMessageObservation, | ||
| ) | ||
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| from opendevin.llm.llm import LLM | ||
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| assert ( | ||
| "OPENAI_API_KEY" in os.environ | ||
| ), "Please set the OPENAI_API_KEY environment variable." | ||
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| SYSTEM_MESSAGE = """You are a helpful assistant. You will be provided access (as root) to a bash shell to complete user-provided tasks. | ||
| You will be able to execute commands in the bash shell, interact with the file system, install packages, and receive the output of your commands. | ||
| DO NOT provide code in ```triple backticks```. Instead, you should execute bash command on behalf of the user by wrapping them with <execute> and </execute>. | ||
| For example: | ||
| You can list the files in the current directory by executing the following command: | ||
| <execute>ls</execute> | ||
| You can also install packages using pip: | ||
| <execute> pip install numpy </execute> | ||
| You can also write a block of code to a file: | ||
| <execute> | ||
| echo "import math | ||
| print(math.pi)" > math.py | ||
| </execute> | ||
| When you are done, execute "exit" to close the shell and end the conversation. | ||
| """ | ||
|
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| INVALID_INPUT_MESSAGE = ( | ||
| "I don't understand your input. \n" | ||
| "If you want to execute command, please use <execute> YOUR_COMMAND_HERE </execute>.\n" | ||
| "If you already completed the task, please exit the shell by generating: <execute> exit </execute>." | ||
| ) | ||
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| def parse_response(response) -> str: | ||
| action = response.choices[0].message.content | ||
| if "<execute>" in action and "</execute>" not in action: | ||
| action += "</execute>" | ||
| return action | ||
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| class CodeActAgent(Agent): | ||
| def __init__( | ||
| self, | ||
| llm: LLM, | ||
| ) -> None: | ||
| """ | ||
| Initializes a new instance of the CodeActAgent class. | ||
| Parameters: | ||
| - instruction (str): The instruction for the agent to execute. | ||
| - max_steps (int): The maximum number of steps to run the agent. | ||
| """ | ||
| super().__init__(llm) | ||
| self.messages: List[Mapping[str, str]] = [] | ||
| self.instruction: str = "" | ||
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| def step(self, state: State) -> Action: | ||
| if len(self.messages) == 0: | ||
| assert self.instruction, "Expecting instruction to be set" | ||
| self.messages = [ | ||
| {"role": "system", "content": SYSTEM_MESSAGE}, | ||
| {"role": "user", "content": self.instruction}, | ||
| ] | ||
| updated_info = state.updated_info | ||
| if updated_info: | ||
| for prev_action, obs in updated_info: | ||
| assert isinstance(prev_action, (CmdRunAction, AgentEchoAction)), "Expecting CmdRunAction or AgentEchoAction for Action" | ||
| if isinstance(obs, AgentMessageObservation): # warning message from itself | ||
| self.messages.append({"role": "user", "content": obs.content}) | ||
| elif isinstance(obs, CmdOutputObservation): | ||
| content = "OBSERVATION:\n" + obs.content | ||
| content += f"\n[Command {obs.command_id} finished with exit code {obs.exit_code}]]" | ||
| self.messages.append({"role": "user", "content": content}) | ||
| else: | ||
| raise NotImplementedError(f"Unknown observation type: {obs.__class__}") | ||
| response = self.llm.completion( | ||
| messages=self.messages, | ||
| stop=["</execute>"], | ||
| temperature=0.0, | ||
| seed=42, | ||
| ) | ||
| action_str: str = parse_response(response) | ||
| self.messages.append({"role": "assistant", "content": action_str}) | ||
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| command = re.search(r"<execute>(.*)</execute>", action_str, re.DOTALL) | ||
| if command is not None: | ||
| # a command was found | ||
| command_group = command.group(1) | ||
| if command_group.strip() == "exit": | ||
| return AgentFinishAction() | ||
| return CmdRunAction(command = command_group) | ||
| # # execute the code | ||
| # # TODO: does exit_code get loaded into Message? | ||
| # exit_code, observation = self.env.execute(command_group) | ||
| # self._history.append(Message(Role.ASSISTANT, observation)) | ||
| else: | ||
| # we could provide a error message for the model to continue similar to | ||
| # https://github.com/xingyaoww/mint-bench/blob/main/mint/envs/general_env.py#L18-L23 | ||
| # observation = INVALID_INPUT_MESSAGE | ||
| # self._history.append(Message(Role.ASSISTANT, observation)) | ||
| return AgentEchoAction(content=INVALID_INPUT_MESSAGE) # warning message to itself | ||
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| def search_memory(self, query: str) -> List[str]: | ||
| raise NotImplementedError("Implement this abstract method") | ||
|
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| from .codeact_agent import CodeActAgent | ||
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| Agent.register("CodeActAgent", CodeActAgent) |
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