langchain-ai / langchain-ai/react-agent
Difference to tool-calling agent or augmented LLM
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- Dominant language
- Python
- Stars
- 845
- Forks
- 698
- Avg merge
- 5d 10h
- Merged PRs (30d)
- 10
Description
An integral capability of ReAct Agent is to explicitly output the reasoning and make it part of its context, forcing the subsequent actions to stick to the reasoning. However, I do not see such component to induce the thought of LLM in this codebase. Please correct me if there is any thing I have missed or my understanding of ReAct is incomplete. Thanks.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points; start by reviewing the repository's ReAct agent implementation and tool-calling flow. Done would require a clear decision about whether explicit reasoning should be included in the agent context and a documented or implemented outcome.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100