updated watsonx and crewai

[gyliu513]

Summary by CodeRabbit

• New Features

  • Introduced a new model for custom language processing, enhancing task performance.
  • Simplified crew structure to focus on a single data collector agent.

• Bug Fixes

  • Updated task configurations to ensure structured output with the new output_json parameter.

• Refactor

  • Removed outdated model configurations and parameters for improved clarity and efficiency.

[coderabbitai]

Caution

Review failed

The pull request is closed.

Walkthrough

The changes in the crew/crewai_watsonx_litellm.py file involve a significant restructuring of the agent and task configurations within a crew. The previous model identifier has been replaced with a new one, and the instantiation of the Model class has been simplified. Additionally, the task instances have been updated to include an output_json parameter for structured output, and the crew's composition has been streamlined to focus on a single agent and task. The overall control flow remains unchanged.

Changes

File	Change Summary
crew/crewai_watsonx_litellm.py	- Removed variables: model_id, parameters, credentials, ibm_model
	- Updated variable: WATSONX_MODEL_ID
	- Updated method signature for Task(...) to include output_json=JsonOutput for tasks
	- Added variable: financial_crew
	- Simplified crew structure to include only data_collector agent and its task

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant FinancialCrew
    participant DataCollector
    participant FinancialAnalyst
    participant ReportWriter

    User->>FinancialCrew: Start financial crew
    FinancialCrew->>DataCollector: Execute data collection
    DataCollector-->>FinancialCrew: Return collected data
    FinancialCrew->>FinancialAnalyst: Analyze data
    FinancialAnalyst-->>FinancialCrew: Return analysis results
    FinancialCrew->>ReportWriter: Generate report
    ReportWriter-->>FinancialCrew: Return report
    FinancialCrew-->>User: Complete process

Loading

🐰 "In the crew where data flows,
A new model takes its pose,
With tasks aligned, oh what a sight,
Simplified and shining bright!
From data to reports, all in line,
A streamlined crew, oh how divine!" 🐇

---

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
• Mastodon
• Reddit
• LinkedIn

🪧 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 resolve resolve all the CodeRabbit review comments.
• @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.