[Good First Issue]: Replicate Existing Cookbooks and Create New Examples - Batch 7

[ijindal1]

For context, see: CONTRIBUTING.md and cookbooks/README.md

Overview

We're looking for contributors to help expand our collection of Jupyter notebooks (cookbooks) that demonstrate various AI and automation tasks using Julep's features. This is a great opportunity for newcomers to get familiar with Julep and contribute to the project!

Objectives

1. Replicate existing cookbooks to ensure they're up-to-date and functioning correctly.
2. Create new cookbooks based on the ideas listed in the cookbooks/README.md file.

Tasks

1. Replicating Existing Cookbooks

• Choose one or more of the existing cookbooks from the list in cookbooks/README.md.
• Follow the instructions in the notebook to run it in Google Colab.
• Verify that all cells execute without errors and produce the expected outputs.
• If you encounter any issues or outdated information, document them for updating.

2. Creating New Cookbooks

• Select an idea from the "Potential Cookbooks for Contributors" section in cookbooks/README.md.
• Create a new Jupyter notebook following the structure of existing cookbooks.
• Implement the chosen use case using Julep's features.
• Ensure your notebook includes:
  • A clear introduction and overview of the task
  • Step-by-step implementation with explanations
  • Proper error handling and user guidance
  • A conclusion summarizing the key learnings

Guidelines for Creating New Cookbooks

1. Naming Convention: Name your notebook following the pattern XX-Descriptive_Name.ipynb, where XX is the next available number in the sequence.

2. Structure:

   • Start with an introduction explaining the purpose of the cookbook.
   • Include a cell for installing the Julep client.
   • Create sections for each major step (e.g., Creating an Agent, Defining a Task, Creating an Execution).
   • Add markdown cells to explain concepts and code.

3. Code Quality:

   • Ensure your code is well-commented and follows PEP 8 style guidelines.
   • Use meaningful variable names.
   • Handle potential errors gracefully.

4. Documentation:

   • Explain each step clearly, assuming the reader is new to Julep.
   • Include links to relevant Julep documentation where appropriate.

5. Testing:

   • Test your notebook thoroughly in Google Colab to ensure it runs without errors.
   • Include sample outputs where relevant.

6. Update README.md:

   • Add your new cookbook to the table in cookbooks/README.md.
   • Include a brief description and mark it as implemented.

How to Contribute

1. Fork the repository.
2. Create a new branch for your cookbook (e.g., cookbook/weather-notification-service).
3. Develop your cookbook following the guidelines above.
4. Test your notebook thoroughly.
5. Commit your changes and push to your fork.
6. Open a pull request with a clear description of your contribution.

Resources

• Julep Documentation
• Existing Cookbooks
• CONTRIBUTING.md

Need Help?

If you have any questions or need assistance, please don't hesitate to ask in the comments of this issue or reach out on our Discord channel.

We're excited to see your contributions and help grow the Julep cookbook collection!

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Long-ass list of ideas

49. AI-Driven Competitive Analysis Workflow Description: Analyzes competitors by gathering data from various sources, comparing metrics, and generating analysis reports. Features: Tools: hacker_news, web_search, huggingface Step Types: Tool Call, Evaluate, Conditional Logic, Generate Report (Prompt), Send Analysis, Log
50. Automated Health Monitoring and Alerting System Description: Monitors health metrics, detects anomalies, and sends alerts to users and healthcare providers. Features: Tools: slack, sendgrid Step Types: Tool Call, Evaluate, Conditional Logic, Send Alert, Log, Loop
51. Intelligent Travel Itinerary Planner Description: Plans travel itineraries based on user preferences, weather conditions, and available attractions. Features: Tools: weather, wikipedia, google_calendar, dalle Step Types: Tool Call, Evaluate, Conditional Logic, Create Itinerary (Set), Generate Images (Tool Call), Send Itinerary, Log
52. Automated Data Backup and Archiving System Description: Backs up data regularly, archives old data, and ensures data integrity. Features: Tools: api_call, slack, sendgrid Step Types: Schedule (Sleep), Tool Call, Evaluate, Conditional Logic, Archive Data (Set), Send Notifications, Log
53. AI-Powered Personal Diary and Reflection Tool Description: Helps users maintain a personal diary, reflects on entries, and provides insights into their emotions and growth. Features: Tools: huggingface, sendgrid Step Types: Tool Call, Evaluate, Conditional Logic, Generate Insights (Prompt), Send Reflections, Log
54. Automated Stock Portfolio Manager Description: Manages stock portfolios by tracking performance, rebalancing investments, and sending performance reports. Features: Tools: finance, sendgrid Step Types: Tool Call, Evaluate, Conditional Logic, Rebalance Portfolio (Set), Send Reports, Log
55. Intelligent Language Tutor Description: Provides language learning exercises, tracks progress, and offers personalized feedback to learners. Features: Tools: huggingface, sendgrid Step Types: Tool Call, Evaluate, Conditional Logic, Generate Exercises (Prompt), Send Feedback, Log
56. Automated Incident Reporting and Resolution Workflow Description: Collects incident reports, categorizes them, initiates resolution workflows, and tracks resolution status. Features: Tools: slack, api_call, sendgrid Step Types: Tool Call, Evaluate, Conditional Logic, Initiate Resolution (Set), Send Notifications, Log

[PRIYANKjakharia]

i can work on this

[prathamesh424]

@ijindal1 can you assign this issue to me

[sahilborse]

/attempt #563 @ijindal1 please assign this issue to me