search

camel-ai / crab

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. https://crab.camel-ai.org/
https://crab.camel-ai.org/
186 stars 26 forks source link

Update and clean outdated code #4

Closed dandansamax closed 3 months ago

coderabbitai[bot] commented 3 months ago

[!CAUTION]

Review failed

The pull request is closed.

Walkthrough

The recent changes primarily enhance the functionality and documentation of the CRAB project, focusing on the client component and improving user experience. Key modifications include updated installation commands, refined setup guides for various environments, and the introduction of error handling for library imports. Documentation has been expanded to clarify processes, while certain functions, like image text detection, have been removed to streamline code. Overall, these updates aim to bolster usability and maintainability.

Changes

Files Change Summary
.github/actions/crab_install/action.yml Changed dependency installation from visual-prompt to client, emphasizing client component installation.
README.md, crab-benchmark-v0/README.md Updated branding from "Crab" to "CRAB", revised installation commands, added details on benchmarking, and removed outdated examples.
crab-benchmark-v0/docs/*.md Enhanced environment setup guides for local and GCP VMs, including detailed instructions and requirements for running benchmarks.
crab-benchmark-v0/dataset/handmade_tasks.py, crab-benchmark-v0/main.py Renamed variable handmade_subtasks to handmade_tasks for clarity; updated imports accordingly.
crab-benchmark-v0/visual_prompt_actions.py Removed the find_text_in_image function and related imports, reducing image processing functionality.
crab/agents/backend_models/*.py Introduced conditional imports for anthropic, google.generativeai, and openai libraries with improved error handling, ensuring clearer feedback for missing dependencies.
crab/core/benchmark.py, experiment.py Modified control flow and paths for better variable initialization and image logging.
examples/*.py Refactored start_benchmark function to improve type safety, handling of responses, and agent instantiation using SingleAgentPolicy.
crab-benchmark-v0/scripts/ubuntu_env_init.sh Added a new script to automate the setup of an Ubuntu environment for CRAB, streamlining user configurations.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant Environment
    participant CRAB_Agent
    participant Model

    User->>Environment: Set up environment
    activate Environment
    Environment-->>User: Environment ready
    deactivate Environment

    User->>CRAB_Agent: Start benchmark
    activate CRAB_Agent
    CRAB_Agent->>Model: Initialize with OpenAIModel
    Model-->>CRAB_Agent: Model ready
    CRAB_Agent->>User: Running benchmark
    deactivate CRAB_Agent

🐰 In the land of code so bright,
A rabbit hops with pure delight.
With CRAB now sleek and oh so grand,
New features bloom across the land.
With errors caught and tasks refined,
A joyful journey, we shall find! 🌟

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share - [X](https://twitter.com/intent/tweet?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A&url=https%3A//coderabbit.ai) - [Mastodon](https://mastodon.social/share?text=I%20just%20used%20%40coderabbitai%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20the%20proprietary%20code.%20Check%20it%20out%3A%20https%3A%2F%2Fcoderabbit.ai) - [Reddit](https://www.reddit.com/submit?title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&text=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code.%20Check%20it%20out%3A%20https%3A//coderabbit.ai) - [LinkedIn](https://www.linkedin.com/sharing/share-offsite/?url=https%3A%2F%2Fcoderabbit.ai&mini=true&title=Great%20tool%20for%20code%20review%20-%20CodeRabbit&summary=I%20just%20used%20CodeRabbit%20for%20my%20code%20review%2C%20and%20it%27s%20fantastic%21%20It%27s%20free%20for%20OSS%20and%20offers%20a%20free%20trial%20for%20proprietary%20code)
Tips ### Chat There are 3 ways to chat with [CodeRabbit](https://coderabbit.ai): - Review comments: Directly reply to a review comment made by CodeRabbit. Example: - `I pushed a fix in commit .` - `Generate unit testing code for this file.` - `Open a follow-up GitHub issue for this discussion.` - Files and specific lines of code (under the "Files changed" tab): Tag `@coderabbitai` in a new review comment at the desired location with your query. Examples: - `@coderabbitai generate unit testing code for this file.` - `@coderabbitai modularize this function.` - PR comments: Tag `@coderabbitai` in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples: - `@coderabbitai generate interesting stats about this repository and render them as a table.` - `@coderabbitai show all the console.log statements in this repository.` - `@coderabbitai read src/utils.ts and generate unit testing code.` - `@coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.` - `@coderabbitai help me debug CodeRabbit configuration file.` Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. ### CodeRabbit Commands (invoked as PR comments) - `@coderabbitai pause` to pause the reviews on a PR. - `@coderabbitai resume` to resume the paused reviews. - `@coderabbitai review` to trigger an incremental review. This is useful when automatic reviews are disabled for the repository. - `@coderabbitai full review` to do a full review from scratch and review all the files again. - `@coderabbitai summary` to regenerate the summary of the PR. - `@coderabbitai resolve` resolve all the CodeRabbit review comments. - `@coderabbitai configuration` to show the current CodeRabbit configuration for the repository. - `@coderabbitai help` to get help. Additionally, you can add `@coderabbitai ignore` anywhere in the PR description to prevent this PR from being reviewed. ### CodeRabbit Configuration File (`.coderabbit.yaml`) - You can programmatically configure CodeRabbit by adding a `.coderabbit.yaml` file to the root of your repository. - Please see the [configuration documentation](https://docs.coderabbit.ai/guides/configure-coderabbit) for more information. - If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: `# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json` ### Documentation and Community - Visit our [Documentation](https://coderabbit.ai/docs) for detailed information on how to use CodeRabbit. - Join our [Discord Community](https://discord.com/invite/GsXnASn26c) to get help, request features, and share feedback. - Follow us on [X/Twitter](https://twitter.com/coderabbitai) for updates and announcements.