awesome-llm-apps icon indicating copy to clipboard operation
awesome-llm-apps copied to clipboard

lead generation Composio Error (YET TO COMPLETE)

Open Madhuvod opened this issue 8 months ago • 3 comments

Summary by CodeRabbit

  • New Features

    • Upgraded to the latest AI model to deliver improved performance.
    • Introduced data validation with informative feedback for smoother integration.
  • Refactor

    • Enhanced error handling and added debugging outputs for more transparent processing.
    • Streamlined agent creation processes for consistent and reliable results.

Madhuvod avatar Mar 17 '25 14:03 Madhuvod

@coderabbitai review

Shubhamsaboo avatar Mar 25 '25 22:03 Shubhamsaboo

:white_check_mark: Actions performed

Review triggered.

Note: CodeRabbit is an incremental review system and does not re-review already reviewed commits. This command is applicable only when automatic reviews are paused.

coderabbitai[bot] avatar Mar 25 '25 22:03 coderabbitai[bot]

Walkthrough

The changes update the agent creation functions within the lead generation module. The create_google_sheets_agent and create_prompt_transformation_agent functions now use the "gpt-4" model and switch from a system_prompt to a description parameter. The tool retrieval method in the Google Sheets agent was modified. In the write_to_google_sheets function, data validation and additional debugging logs have been introduced, and error handling has been enhanced with detailed messages and traceback logging. Method signatures have also been updated to reflect these adjustments.

Changes

File(s) Change Summary
ai_agent_tutorials/…/ai_lead_generation_agent.py - create_google_sheets_agent: Changed tool retrieval from indexed access to direct list return; updated model from "gpt-4o-mini" to "gpt-4" and replaced system_prompt with description.
- write_to_google_sheets: Added data validation for empty input, debugging logs (record count, sample record, API response), and enhanced error handling with detailed logging and traceback.
- create_prompt_transformation_agent: Updated model to "gpt-4" and replaced system_prompt with description.
- Updated method signatures accordingly.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant SheetsWriter as write_to_google_sheets
    participant GoogleAPI as GoogleSheetsAPI

    Client->>SheetsWriter: Submit flattened_data
    alt flattened_data is empty
        SheetsWriter-->>Client: Log warning and return
    else flattened_data is present
        SheetsWriter->>SheetsWriter: Log record count and sample record
        SheetsWriter->>GoogleAPI: Request to create a Google Sheet
        GoogleAPI-->>SheetsWriter: Return API response
        SheetsWriter->>SheetsWriter: Log API response
        alt Response contains valid link
            SheetsWriter-->>Client: Return sheet link
        else Response invalid
            SheetsWriter->>SheetsWriter: Log detailed error and traceback
            SheetsWriter-->>Client: Return error message
        end
    end

Poem

I'm a rabbit with a skip in my code,
Leaping through changes on every road.
Debug logs twinkle like stars so bright,
Error handling shines in the dark of night.
With gpt-4 and updates so grand, I celebrate hopping to a smoother land!
🐇✨

✨ Finishing Touches
  • [ ] 📝 Generate Docstrings

🪧 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>, please review it.
    • 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 gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @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 using 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 generate docstrings to generate docstrings for this PR.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai plan to trigger planning for file edits and PR creation.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

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 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.

coderabbitai[bot] avatar Mar 25 '25 22:03 coderabbitai[bot]