gyliu513 / langX101

Apache License 2.0
6 stars 4 forks source link

added aws bedrock test #186

Closed gyliu513 closed 4 months ago

gyliu513 commented 4 months ago

User description

Summary by CodeRabbit


PR Type

Enhancement, Documentation


Description


Changes walkthrough πŸ“

Relevant files
Enhancement
bedrock1.py
Introduce joke generation service using AWS Bedrock           

aws/bedrock1.py
  • Added a new joke generation service using AWS Bedrock's text
    generation capabilities.
  • Implemented create_joke task to invoke the text generation model.
  • Created joke_workflow to execute the joke creation task.
  • Initialized Traceloop for monitoring and tracing.
  • +50/-0   

    πŸ’‘ PR-Agent usage: Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

    coderabbitai[bot] commented 4 months ago

    [!WARNING]

    Rate limit exceeded

    @github-actions[bot] has exceeded the limit for the number of commits or files that can be reviewed per hour. Please wait 23 minutes and 49 seconds before requesting another review.

    How to resolve this issue? After the wait time has elapsed, a review can be triggered using the `@coderabbitai review` command as a PR comment. Alternatively, push new commits to this PR. We recommend that you space out your commits to avoid hitting the rate limit.
    How do rate limits work? CodeRabbit enforces hourly rate limits for each developer per organization. Our paid plans have higher rate limits than the trial, open-source and free plans. In all cases, we re-allow further reviews after a brief timeout. Please see our [FAQ](https://coderabbit.ai/docs/faq) for further information.
    Commits Files that changed from the base of the PR and between f7342c2da81b27f87b51f96115bc55ec13e46c32 and 9361ed0cbb6f5ba99e35e3ef0fb1b264ba954153.

    Walkthrough

    The new feature integrates AWS Bedrock's text generation capabilities to create a simple joke generation service. Utilizing cloud-based AI, the application generates jokes through defined workflows, enhancing user interaction with a playful twist. The implementation allows for straightforward execution and demonstrates effective use of AWS tools in a Python environment.

    Changes

    Files Change Summary
    aws/bedrock1.py Introduced a joke generation service utilizing AWS Bedrock. Added functions for creating jokes and managing workflows.

    Sequence Diagram(s)

    sequenceDiagram
        participant User
        participant JokeService
        participant AWS_Bedrock
    
        User->>JokeService: Request a joke
        JokeService->>AWS_Bedrock: Send prompt for joke generation
        AWS_Bedrock-->>JokeService: Return generated joke
        JokeService-->>User: Display joke

    Poem

    🐰 In a world where laughter blooms,
    Jokes now dance in digital rooms.
    AWS whispers, "Here’s a jest!"
    With a hop and a giggle, we’re truly blessed!
    Let humor flow, both bright and light,
    A rabbit's joy, our hearts ignite! 🌟


    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.
    github-actions[bot] commented 4 months ago

    PR Reviewer Guide πŸ”

    ⏱️ Estimated effort to review: 3 πŸ”΅πŸ”΅πŸ”΅βšͺβšͺ
    πŸ§ͺ No relevant tests
    πŸ”’ Security concerns

    No specific security vulnerabilities like SQL injection or XSS are introduced in this PR. However, the lack of error handling could potentially expose sensitive information in error messages or logs.
    ⚑ Key issues to review

    Hardcoded Region
    The AWS region is hardcoded in the boto3 client initialization at line 13. Consider making it configurable to enhance flexibility and deployment in different environments. Error Handling
    There is no error handling for the API calls or JSON operations in the `create_joke` function. Adding try-except blocks could improve reliability and error reporting. Security Concern
    The function `create_joke` potentially exposes sensitive data if the output includes errors or tracebacks that contain AWS resource identifiers or other sensitive information.
    github-actions[bot] commented 4 months ago

    PR Code Suggestions ✨

    CategorySuggestion                                                                                                                                    Score
    Possible issue
    Add exception handling for the model invocation ___ **It's recommended to handle exceptions for the invoke_model method to ensure that the
    application can gracefully handle cases where the model invocation fails or returns
    an unexpected response.** [aws/bedrock1.py [31-35]](https://github.com/gyliu513/langX101/pull/186/files#diff-c61c0041ef644ac81d47a1a7cc6dd9c8ec14cf45f2a1a7b2e198921c948d2488R31-R35) ```diff -response = bedrock_runtime.invoke_model( - body=body, - modelId="amazon.titan-text-express-v1", - accept="application/json", - contentType="application/json" -) +try: + response = bedrock_runtime.invoke_model( + body=body, + modelId="amazon.titan-text-express-v1", + accept="application/json", + contentType="application/json" + ) +except Exception as e: + # Handle the exception (e.g., logging, retrying, or fallback mechanisms) + print(f"Failed to invoke model: {e}") + return None ```
    Suggestion importance[1-10]: 10 Why: Adding exception handling is crucial for ensuring the application can gracefully handle failures during model invocation, improving robustness and reliability.
    10
    Enhancement
    Adjust the temperature parameter to avoid deterministic outputs ___ **The temperature parameter in the text generation configuration should not be set to
    0 as it can lead to deterministic and repetitive outputs. Consider setting it to a
    small but non-zero value to introduce a slight randomness.** [aws/bedrock1.py [26]](https://github.com/gyliu513/langX101/pull/186/files#diff-c61c0041ef644ac81d47a1a7cc6dd9c8ec14cf45f2a1a7b2e198921c948d2488R26-R26) ```diff -"temperature":0, #Temperature controls randomness; higher values increase diversity, lower values boost predictability. +"temperature":0.1, #Temperature controls randomness; higher values increase diversity, lower values boost predictability. ```
    Suggestion importance[1-10]: 8 Why: Setting the `temperature` parameter to a small non-zero value introduces slight randomness, which can improve the diversity of generated text without making it too unpredictable.
    8
    Define stop sequences for controlled text generation ___ **The stopSequences parameter is currently an empty list, which might cause the text
    generation to run indefinitely or until the maximum token count is reached. Define
    meaningful stop sequences to ensure controlled text generation.** [aws/bedrock1.py [25]](https://github.com/gyliu513/langX101/pull/186/files#diff-c61c0041ef644ac81d47a1a7cc6dd9c8ec14cf45f2a1a7b2e198921c948d2488R25-R25) ```diff -"stopSequences":[], #define phrases that signal the model to conclude text generation. +"stopSequences":[".", "?", "!"], #define phrases that signal the model to conclude text generation. ```
    Suggestion importance[1-10]: 7 Why: Defining stop sequences helps control the text generation process, preventing it from running indefinitely and ensuring more coherent outputs.
    7
    Adjust the topP parameter to balance creativity and coherence ___ **The topP parameter is set to 0.9, which is generally high and might lead to less
    predictable text generation. Consider adjusting this value based on the desired
    level of creativity versus coherence in the generated text.** [aws/bedrock1.py [27]](https://github.com/gyliu513/langX101/pull/186/files#diff-c61c0041ef644ac81d47a1a7cc6dd9c8ec14cf45f2a1a7b2e198921c948d2488R27-R27) ```diff -"topP":0.9 # Top P is a text generation technique, sampling from the most probable tokens in a distribution. +"topP":0.7 # Top P is a text generation technique, sampling from the most probable tokens in a distribution. ```
    Suggestion importance[1-10]: 6 Why: Adjusting the `topP` parameter can help balance the trade-off between creativity and coherence in the generated text, but the optimal value may vary based on specific use cases.
    6