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feat: add twitter thread generator examples #1078

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merged 14 commits into from
Dec 23, 2024

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Prat011
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@Prat011 Prat011 commented Dec 23, 2024

🔍 Review Summary

Release Note

Purpose:

  • Enhance automation in recruitment, social media content creation, and idea collation from Hacker News.

Changes:

  • New Feature: Added three agents for candidate management, social media content automation, and idea gathering from Hacker News.
  • Enhancement: Improved model performance and reliability in newsletter and Twitter thread demos.

Impact:

  • Increased efficiency through automation and enhanced model reliability.
Original Description

[!IMPORTANT]
This pull request adds new content writing and recruiter agent examples using various frameworks, updates model usage in JavaScript, and includes setup scripts and documentation.

  • Behavior:
    • Replaces openai with groq in demo.mjs for model llama-3.3-70b-versatile.
    • Adds new Python examples for content writing agents using llamaindex, phidata, langgraph, and letta frameworks.
    • Introduces a recruiter agent example using llamaindex and agentops.
  • Environment:
    • Adds .env.example files for llamaindex, phidata, langgraph, letta, and recruiter_agent to specify API keys.
  • Setup:
    • Adds setup.sh scripts for setting up virtual environments and installing dependencies for each new agent example.
  • Documentation:
    • Adds readme.md files for each new agent example detailing setup and execution steps.
  • Dependencies:
    • Adds requirements.txt for each new agent example specifying required Python packages.

This description was created by Ellipsis for 16602d0. It will automatically update as commits are pushed.

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👍 Looks good to me! Reviewed everything up to 16602d0 in 1 minute and 29 seconds

More details
  • Looked at 957 lines of code in 26 files
  • Skipped 0 files when reviewing.
  • Skipped posting 7 drafted comments based on config settings.
1. js/examples/newsletter_twitter_threads/demo.mjs:2
  • Draft comment:
    Add spaces around the import braces for consistency.
import { groq } from '@ai-sdk/groq'
  • Reason this comment was not posted:
    Confidence changes required: 10%
    The import statement for groq is missing a space after the opening brace and before the closing brace. This is a minor style issue but should be corrected for consistency and readability.
2. js/examples/newsletter_twitter_threads/demo.mjs:43
  • Draft comment:
    Consider parameterizing the prompt in the generateText function call to make the executeAgent function more flexible and reusable.
  • Reason this comment was not posted:
    Confidence changes required: 30%
    The generateText function call in executeAgent uses a hardcoded prompt. It would be better to parameterize the prompt to make the function more flexible and reusable.
3. python/examples/advanced_agents/content_writing_agent/llamaindex/.env.example:4
  • Draft comment:
    Add a newline at the end of the file for consistency.
CEREBRAS_API_KEY=YOUR_CEREBRAS_API_KEY

  • Reason this comment was not posted:
    Confidence changes required: 10%
    The .env.example file is missing a newline at the end of the file. This is a minor issue but should be corrected for consistency and to avoid potential issues with some tools.
4. python/examples/advanced_agents/content_writing_agent/llamaindex/main.py:75
  • Draft comment:
    Consider adding validation for chosen_idea to ensure it's a valid number and within the range of available ideas to prevent runtime errors.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    In main.py, the chosen_idea is taken as input from the user, but there's no validation to ensure it's a valid number or within the range of available ideas. This could lead to runtime errors.
5. python/examples/advanced_agents/content_writing_agent/llamaindex/setup.sh:5
  • Draft comment:
    Consider making the virtual environment path configurable instead of hardcoding it to ~/.venvs/content_writing.
  • Reason this comment was not posted:
    Confidence changes required: 30%
    The setup.sh script creates a virtual environment in a hardcoded path ~/.venvs/content_writing. This might not be suitable for all users. Consider making the path configurable.
6. python/examples/advanced_agents/content_writing_agent/phidata/main.py:43
  • Draft comment:
    Consider adding validation for chosen_idea to ensure it's a valid number and within the range of available ideas to prevent runtime errors.
  • Reason this comment was not posted:
    Confidence changes required: 50%
    The main.py file in the phidata directory has a similar issue as the llamaindex main.py file regarding the lack of validation for chosen_idea. This should be addressed to prevent runtime errors.
7. python/examples/advanced_agents/content_writing_agent/phidata/setup.sh:5
  • Draft comment:
    Consider making the virtual environment path configurable instead of hardcoding it to ~/.venvs/content_writing.
  • Reason this comment was not posted:
    Confidence changes required: 30%
    The setup.sh script in the phidata directory also creates a virtual environment in a hardcoded path ~/.venvs/content_writing. This should be made configurable for flexibility.

Workflow ID: wflow_ciVweyrNKK9T6Rde


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# Create a virtual environment
echo "Creating virtual environment..."
python3 -m venv ~/.venvs/content_writing
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The setup.sh script is creating a virtual environment with a hardcoded name 'content_writing' which doesn't match the agent's purpose. Consider using a more appropriate name like 'indie_hacker' or making it configurable.

# Add trello tool

echo "Add slackbot tool. Finish the flow"
composio add twitter
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The setup script is adding Twitter, LinkedIn, Firecrawl, and Tavily tools, but the agent only uses CodeInterpreter, FileTools, HackerNews, ShellTool, and WebTool. Remove unnecessary tool additions to avoid confusion.

@@ -0,0 +1,30 @@
# Indie Hacker Agent Guide

This guide provides detailed steps to create an Indie Hacker Agent that leverages Composio, agentic frameworks such as Letta and OpenAI to create a complete content writing and posting pipeline. Ensure you have Python 3.8 or higher installed.
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The readme.md file incorrectly mentions Letta framework in the description while this is a LangGraph implementation. Update the description to avoid confusion.

#llm = ChatGroq(model='llama3.3-70b-versatile')
llm_with_tools = llm.bind_tools(tools)

def chatbot(state: State):
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The chatbot function lacks proper error handling and type hints for its return value. Consider adding try-except blocks and return type annotation for better code maintainability.

toolset = ComposioToolSet()
tools = toolset.get_tools(apps=[App.CODEINTERPRETER, App.FILETOOL, App.HACKERNEWS, App.SHELLTOOL, App.WEBTOOL])

llm = ChatOpenAI(model="gpt-4o")
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The model configuration is hardcoded and commented out. Consider using environment variables to switch between models (OpenAI vs Groq) for better flexibility.

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Walkthrough

This update introduces three new agents: a recruiter agent for candidate management via Google Sheets, a content writing agent for automating social media content creation, and an indie hacker agent for exploring ideas from Hacker News. Each agent comes with comprehensive setup scripts and configuration files to ensure smooth deployment and operation.

Changes

File(s) Summary
js/examples/newsletter_twitter_threads/demo.mjs Updated model usage to groq("llama-3.3-70b-versatile").
python/examples/advanced_agents/recruiter_agent/* Introduced recruiter agent with setup scripts, API key management, and Google Sheets integration.
python/examples/advanced_agents/content_writing_agent/llamaindex/* Implemented content writing agent for automated content creation and social media posting.
python/examples/advanced_agents/indie_hacker_agent/langgraph/* Developed indie hacker agent to explore Hacker News ideas, with setup and environment configurations.
python/examples/advanced_agents/indie_hacker_agent/letta/* Added indie hacker agent using Letta framework, including setup and dependencies.

🔗 Related PRs

  • chore: unpin pydantic #967: The pull request updates setup.py to unpin the pydantic version and modifies type annotations for compatibility across multiple files.
  • feat: Add lint and prettier check in workflow #955: The pull request adds a GitHub Actions workflow for linting and formatting JavaScript and TypeScript files with ESLint and Prettier, including configuration updates and file cleanup.
  • fix: bring eslint + TS issues to zero #1013: The pull request aims to enhance code quality and type safety by enforcing stricter ESLint rules, refactoring code, and improving error handling for better maintainability and readability.
  • feat: composio apps update revamp #962: The update simplifies enum handling, removes the composio apps update command, enhances testing, introduces a replaced_by field for deprecated actions, and adds CLI functionality to generate type stubs, with further improvements planned for startup processes.
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graph = graph_builder.compile(checkpointer=memory)

config = {"configurable": {"thread_id": "1"}, "recursion_limit": 50}
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The thread_id in the config is hardcoded as "1". Consider making this configurable or generating a unique ID to avoid potential conflicts in concurrent usage.

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Code Review Summary

Overall Assessment

The PR introduces several new agent implementations and model changes, showing good modularity but needs improvements in several areas.

Strengths

✅ Good separation of concerns between different agent implementations
✅ Consistent setup script structure across examples
✅ Clear basic documentation with setup instructions
✅ Support for multiple LLM providers (OpenAI, Groq)

Areas for Improvement

  1. Configuration Management

    • Hardcoded values should be moved to configuration
    • Environment variables need better documentation
    • Model selection should be configurable
  2. Code Quality

    • Missing error handling in critical functions
    • Inconsistent type hints usage
    • Some hardcoded values need to be made configurable
    • Setup scripts have unnecessary tool additions
  3. Documentation

    • Some README files have incorrect framework references
    • Missing docstrings in new functions
    • Setup instructions could be more detailed
  4. Testing

    • No unit tests for new agent implementations
    • Missing error scenario handling

Recommendations

  1. Add proper error handling in agent implementations
  2. Use environment variables for model selection
  3. Update documentation to match actual implementations
  4. Add type hints consistently
  5. Remove unnecessary tool additions from setup scripts
  6. Consider adding basic unit tests

Rating: 7/10

Good foundation but needs the suggested improvements for better maintainability and reliability.

@Prat011 Prat011 changed the title Fix: twitter thread generator fix: twitter thread generator Dec 23, 2024
@tushar-composio tushar-composio changed the title fix: twitter thread generator feat: add twitter thread generator example Dec 23, 2024
@tushar-composio tushar-composio changed the title feat: add twitter thread generator example feat: add twitter thread generator examples Dec 23, 2024
@tushar-composio tushar-composio merged commit 3d48a0f into master Dec 23, 2024
24 checks passed
@tushar-composio tushar-composio deleted the fix/twitter-thread-generator branch December 23, 2024 16:13
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4 participants