What do you want to do?
3 use cases
-
Offload a research task to ChatGPT Pro from Codex
Send a research question to ChatGPT Pro and get a summary back without spending Codex quota.
- Web GPT
- Codex
- Software and DevOps
- Intermediate
View prompt
Using the WebGPT repo (Nhahan/WebGPT), run `webgpt p` with the research question <topic>. Expect a written summary of the findings returned to Codex. Verify that the summary answers the question and says where its claims came from.
-
Build planned project features in parallel with subagents
Split a project's planned features across Web GPT extra-high subagents that run at the same time.
- Web GPT
- Codex
- Software and DevOps
- Advanced
View prompt
Using the WebGPT repo (Nhahan/WebGPT), ask Codex to run webgpt xh subagents on the planned features of <project path>. Expect one completed change per planned feature and a short report from each subagent. Verify each change with the project's existing tests before merging.
-
Open ChatGPT with terminal access to a project
Open ChatGPT in the browser with terminal access to the current project or a folder you name.
- Web GPT
- Codex
- Software and DevOps
- Intermediate
View prompt
Using the WebGPT repo (Nhahan/WebGPT), run `webgpt open /path/to/project` with the project path <project path>. Expect ChatGPT to open with terminal access to that folder. Verify the session is pointed at the correct project before giving it any task.
How to use Web GPT
- Check you have what it needs: Codex with the WebGPT skill installed from https://github.com/Nhahan/WebGPT/tree/main/skills/webgpt; A ChatGPT account you can sign in to on the web; Permission for the local Worker, accountless HTTPS forwarding, and full terminal access as your OS user for the assigned project.
- Open Nhahan/WebGPT on GitHub and read the README and license.
- Install the skill by pasting the install prompt from the README into Codex, then let Codex follow references/setup.md.
- Complete any sign-in step that only you can do, then let the setup test finish.
- In Codex, tell it:
webgpt p Research this topic and summarize the findings.with your topic in place of the sample text. - Read the summary Codex returns and check it against the sources it cites.
These steps come from our top use case, Offload a research task to ChatGPT Pro from Codex, which also has a copy-paste agent prompt.
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About this repo
- Who it is forCodex users who run into quota limits and want to send research or parallel feature work to ChatGPT on the web.
- Why it is hot
- LanguageJavaScript
- Sourcegithub.com/Nhahan/WebGPT · Back to Hot repos
Requirements
- Codex with the WebGPT skill installed from https://github.com/Nhahan/WebGPT/tree/main/skills/webgpt
- A ChatGPT account you can sign in to on the web
- Permission for the local Worker, accountless HTTPS forwarding, and full terminal access as your OS user for the assigned project
- A terminal on the machine where Codex runs
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Questions about Web GPT
What is Web GPT?
WebGPT is a Codex skill that hands tasks off to ChatGPT on the web through a local Worker, so the work does not use up Codex quota. It is an open-source project on GitHub: https://github.com/Nhahan/WebGPT.
Who is Web GPT for?
Codex users who run into quota limits and want to send research or parallel feature work to ChatGPT on the web.
What can I do with Web GPT?
3 use cases so far, for example: Offload a research task to ChatGPT Pro from Codex; Build planned project features in parallel with subagents; Open ChatGPT with terminal access to a project. Each has steps and a copy-paste agent prompt.
What do I need to run Web GPT?
Codex with the WebGPT skill installed from https://github.com/Nhahan/WebGPT/tree/main/skills/webgpt; A ChatGPT account you can sign in to on the web; Permission for the local Worker, accountless HTTPS forwarding, and full terminal access as your OS user for the assigned project; A terminal on the machine where Codex runs.
What are alternatives to Web GPT?
Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.
Is Web GPT safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.