Integrating Docker runtime and supporting inference for a typical SWE like task instance

Oct 13, 2025 by leolavanderia.com.br 102 views

Introduction

As software development continues to evolve, the need for efficient and effective tools to support software engineering tasks has become increasingly important. In this feature request, we propose the implementation of a specialized agent for software engineering tasks, specifically designed to support issue resolution, benchmarking, and other related activities. This agent will be built upon the existing CodeActAgent implementation from OpenHands, a general-purpose coding agent.

Motivation

The primary motivation behind this feature request is to support software engineering tasks, such as issue resolution, following benchmarks like SWE-Bench and SWE-Lancer. A typical workflow involves repository-level operations, including viewing, creating, deleting, and modifying code files, as well as executing bash commands. All actions should be executed within a sandboxed environment (e.g., Docker). This specialized agent will enable developers to automate and streamline these tasks, reducing the time and effort required to complete software engineering tasks.

Solution

We propose integrating the CodeActAgent implementation from OpenHands, a general-purpose coding agent. This agent is designed to support a wide range of coding tasks, including code completion, code review, and code generation. By integrating this agent, we can leverage its existing functionality to support software engineering tasks.

To achieve this, we will implement a new agent class, CodeActAgent, by inheriting from the BaseAgent class, using ChatAgent as a reference. We will also support execute_bash and str_replace_editor actions, as defined in the OpenHands implementation. Note that the implementation requests for these tools will be addressed in a separate issue.

Additionally, we will integrate Docker runtime and support inference for a typical SWE like task instance (TBD). This will enable the agent to execute tasks within a sandboxed environment, ensuring that the agent's actions do not affect the host system.

Alternatives

At this time, there are no alternative solutions that can meet the requirements of this feature request. The CodeActAgent implementation from OpenHands is the most suitable solution for this use case.

Additional Context

This feature request is part of a larger effort to support software engineering tasks within the Camel AI platform. By implementing this specialized agent, we can provide developers with a powerful tool to automate and streamline software engineering tasks, reducing the time and effort required to complete these tasks.

Implementation Plan

To implement this feature, we will follow the following steps:

Integrate the CodeActAgent implementation from OpenHands into the Camel AI platform.
Implement the CodeActAgent class by inheriting from the BaseAgent class, using ChatAgent as a reference.
Support execute_bash and str_replace_editor actions, as defined in the OpenHands implementation.
Integrate Docker runtime and support inference for a typical SWE like task instance (TBD).

Benefits

The implementation of this specialized agent will provide several benefits, including:

Improved efficiency: By automating software engineering tasks, developers can reduce the time and effort required to complete these tasks.
Increased productivity: With the ability to automate software engineering tasks, developers can focus on higher-level tasks, such as design and development.
Enhanced accuracy: By executing tasks within a sandboxed environment, the agent can ensure that its actions do not affect the host system, reducing the risk of errors and inaccuracies.

Conclusion

In conclusion, the implementation of a specialized agent for software engineering tasks is a critical feature that will enable developers to automate and streamline software engineering tasks. By integrating the CodeActAgent implementation from OpenHands, we can provide developers with a powerful tool to support issue resolution, benchmarking, and other related activities. We believe that this feature will have a significant impact on the development community and look forward to implementing it in the near future.

Future Work

In the future, we plan to expand the capabilities of this specialized agent to support additional software engineering tasks, such as code review and code generation. We also plan to integrate this agent with other tools and platforms to provide a comprehensive software engineering solution.

References

SWE-Bench
SWE-Lancer
CodeActAgent README
Docker
Q&A: Implementing a Specialized Agent for Software Engineering Tasks ====================================================================

Introduction

In our previous article, we discussed the feature request to implement a specialized agent for software engineering tasks. This agent will be designed to support issue resolution, benchmarking, and other related activities, and will be built upon the existing CodeActAgent implementation from OpenHands. In this article, we will answer some of the most frequently asked questions about this feature request.

Q: What is the purpose of this specialized agent?

A: The primary purpose of this specialized agent is to support software engineering tasks, such as issue resolution, benchmarking, and other related activities. This agent will enable developers to automate and streamline these tasks, reducing the time and effort required to complete software engineering tasks.

Q: How will this agent be implemented?

A: We will implement this agent by integrating the CodeActAgent implementation from OpenHands, a general-purpose coding agent. This agent is designed to support a wide range of coding tasks, including code completion, code review, and code generation. We will also support execute_bash and str_replace_editor actions, as defined in the OpenHands implementation.

Q: What are the benefits of this specialized agent?

A: The implementation of this specialized agent will provide several benefits, including:

Improved efficiency: By automating software engineering tasks, developers can reduce the time and effort required to complete these tasks.
Increased productivity: With the ability to automate software engineering tasks, developers can focus on higher-level tasks, such as design and development.
Enhanced accuracy: By executing tasks within a sandboxed environment, the agent can ensure that its actions do not affect the host system, reducing the risk of errors and inaccuracies.

Q: How will this agent be integrated with other tools and platforms?

A: We plan to integrate this agent with other tools and platforms to provide a comprehensive software engineering solution. This will enable developers to use this agent in conjunction with other tools and platforms to support a wide range of software engineering tasks.

Q: What are the next steps for implementing this specialized agent?

A: The next steps for implementing this specialized agent include:

Integrating the CodeActAgent implementation from OpenHands: We will integrate the CodeActAgent implementation from OpenHands into the Camel AI platform.
Implementing the CodeActAgent class: We will implement the CodeActAgent class by inheriting from the BaseAgent class, using ChatAgent as a reference.
Supporting execute_bash and str_replace_editor actions: We will support execute_bash and str_replace_editor actions, as defined in the OpenHands implementation.
Integrating Docker runtime and supporting inference for a typical SWE like task instance: We will integrate Docker runtime and support inference for a typical SWE like task instance (TBD).

Q: What is the timeline for implementing this specialized agent?

A: We anticipate that the implementation of this specialized agent will take several months to complete. We will provide regular updates on the progress of this project and will notify developers when the agent is available for use.

Q: How can developers get involved in the development of this specialized agent?

A: We welcome developers who are interested in contributing to the development of this specialized agent. We will provide regular updates on the progress of this project and will notify developers when the agent is available for use. Developers can also contribute to the development of this agent by submitting pull requests or reporting issues.

Q: What are the potential risks and challenges associated with implementing this specialized agent?

A: As with any software development project, there are potential risks and challenges associated with implementing this specialized agent. These include:

Integration issues: Integrating the CodeActAgent implementation from OpenHands with the Camel AI platform may require significant effort and may introduce integration issues.
Testing and validation: Testing and validating the agent will require significant effort and may introduce testing and validation issues.
Security risks: The agent may introduce security risks if not properly implemented and tested.

Conclusion

In conclusion, the implementation of a specialized agent for software engineering tasks is a critical feature that will enable developers to automate and streamline software engineering tasks. We believe that this feature will have a significant impact on the development community and look forward to implementing it in the near future.