Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

⬆️ fix(llmkira/openai): add wait_exponential to retry configu… #415

Merged
merged 1 commit into from
Jun 20, 2024

Conversation

sudoskys
Copy link
Member

@sudoskys sudoskys commented Jun 20, 2024

…ration

Summary by CodeRabbit

  • Improvements
    • Enhanced the retry mechanism for API requests to include exponential backoff, improving stability and resilience in case of temporary issues.

Copy link
Contributor

coderabbitai bot commented Jun 20, 2024

Walkthrough

The request.py file in the llmkira/openai module has been updated to enhance the retry mechanism for making requests. The changes include importing the wait_exponential function from the tenacity library and modifying the retry decorator to include an exponential backoff strategy, providing a more efficient and reliable way to handle retries with a waiting period that increases exponentially between attempts.

Changes

Files Change Summary
llmkira/.../request.py Added wait_exponential to the import statement, and updated the retry decorator to include wait_exponential(multiplier=1, min=4, max=10).

Poem

In code we trust, with retries so grand,
An exponential wait, perfectly planned,
Requests now smoother, errors abate,
A better flow, our fate we create.
Each line refined, resilience through,
In every retry, a promise anew.


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
Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>.
    • 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 Configration 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 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 for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Outside diff range and nitpick comments (2)
llmkira/openai/request.py (2)

Line range hint 83-84: Replace Yoda conditions for clarity and consistency with common Python practices.

- "function_call" == self.finish_reason
+ self.finish_reason == "function_call"
- "tool_calls" == self.finish_reason
+ self.finish_reason == "tool_calls"

Line range hint 213-213: In the except clauses, specify the cause of the raised exceptions using raise ... from exc to provide clearer error chaining and to distinguish them from errors in exception handling.

- raise NetworkError("Some error occurred while making request.")
+ raise NetworkError("Some error occurred while making request.") from exc
- raise NetworkError("Server send a invalid response cant be parsed.")
+ raise NetworkError("Server send a invalid response cant be parsed.") from exc
- raise UnexpectedFormatError("Unexpected response format")
+ raise UnexpectedFormatError("Unexpected response format") from exc
- raise RuntimeError("The response model is not matched with the result")
+ raise RuntimeError("The response model is not matched with the result") from exc

Also applies to: 218-218, 230-230, 255-255

Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits

Files that changed from the base of the PR and between 63fc9b4 and 0da504e.

Files selected for processing (1)
  • llmkira/openai/request.py (2 hunks)
Additional context used
Ruff
llmkira/openai/request.py

83-83: Yoda conditions are discouraged, use self.finish_reason == "function_call" instead (SIM300)

Replace Yoda condition with self.finish_reason == "function_call"


84-84: Yoda conditions are discouraged, use self.finish_reason == "tool_calls" instead (SIM300)

Replace Yoda condition with self.finish_reason == "tool_calls"


213-213: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling (B904)


218-218: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling (B904)


230-230: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling (B904)


255-255: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling (B904)

Additional comments not posted (2)
llmkira/openai/request.py (2)

9-9: The import statement is correctly updated to include wait_exponential from tenacity.


184-188: The modification to the retry decorator to include wait_exponential with specified parameters aligns with the PR objectives and follows best practices for handling retries in network requests.

@sudoskys sudoskys merged commit eb39140 into main Jun 20, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant