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feat: add twitter thread generator examples #1078
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👍 Looks good to me! Reviewed everything up to 16602d0 in 1 minute and 29 seconds
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- Looked at
957
lines of code in26
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 forgroq
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 thegenerateText
function call to make theexecuteAgent
function more flexible and reusable. - Reason this comment was not posted:
Confidence changes required:30%
ThegenerateText
function call inexecuteAgent
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 forchosen_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%
Inmain.py
, thechosen_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%
Thesetup.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 forchosen_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%
Themain.py
file in thephidata
directory has a similar issue as thellamaindex
main.py file regarding the lack of validation forchosen_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%
Thesetup.sh
script in thephidata
directory also creates a virtual environment in a hardcoded path~/.venvs/content_writing
. This should be made configurable for flexibility.
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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 | ||
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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.
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# Indie Hacker Agent Guide | |||
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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) | ||
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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]) | ||
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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.
WalkthroughThis 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
🔗 Related PRs
InstructionsEmoji Descriptions:
Interact with the Bot:
Execute a command using the format:
Available Commands:
Tips for Using @bot Effectively:
Need More Help?📚 Visit our documentation for detailed guides on using Entelligence.AI. |
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graph = graph_builder.compile(checkpointer=memory) | ||
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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.
Code Review SummaryOverall AssessmentThe 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 Areas for Improvement
Recommendations
Rating: 7/10Good foundation but needs the suggested improvements for better maintainability and reliability. |
🔍 Review Summary
Release Note
Purpose:
Changes:
Impact:
Original Description