openai-python
aider
openai-python | aider | |
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61 | 64 | |
19,999 | 9,705 | |
3.2% | - | |
9.6 | 9.9 | |
1 day ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openai-python
- The Stainless SDK Generator
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GPT-4 Turbo with Vision is a step backwards for coding
The ongoing model anchoring/grounding issue likely affects all GPT-4 checkpoints/variants, but is most prominent with the latest "gpt-4-turbo-2024-04-09" variant due to its most recent cutoff date, might imply deeper issues with the current model architecture, or at least how it's been updated:
https://github.com/openai/openai-python/issues/1310
See also the original thread on OpenAI's developer forums (linked on the GitHub issue) with confirmations from others.
A test code snippet is included in the GitHub issue to A/B test the problem yourself with your own questions if need be.
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Show HN: GritQL, a Rust CLI for rewriting source code
- Iterate on large codebases quickly: we use Rust for maximum performance
GritQL has already been used on thousands of repositories for complex migrations[1] but we're excited to collaborate more with the open source community.
[1] Ex. https://github.com/openai/openai-python/discussions/742
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Integrating AI chatbot💩 into your application in 2024 🧙🏻♂️🏆 is how easy? 🤔
Explore OpenAI and learn how to easily integrate it into your existing application with the OpenAI Python module.
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Need Help with OpenAI Upgrade: Seeking Guidance on 'openai.Completion' Deprecation Error
You tried to access openai.Completion, but this is no longer supported in openai>=1.0.0 - see the README at https://github.com/openai/openai-python for the API. You can run `openai migrate` to automatically upgrade your codebase to use the 1.0.0 interface. Alternatively, you can pin your installation to the old version, e.g. `pip install openai==0.28` A detailed migration guide is available here: https://github.com/openai/openai-python/discussions/742
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Anthropic announces Claude 2.1 – 200k context, less refusals
Relatedly, I checked and OpenAI deleted all references to their ChatML spec from their GitHub repo.
This is what it said in an earlier commit: https://github.com/openai/openai-python/blob/2942bf4bb635b1e...
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Web scraping experiment with AI (Parsing HTML with GPT-4)
Make sure to install the OpenAI library first. Since I'm using Python, I need
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OpenAI: "We are dealing with periodic outages due to an abnormal traffic pattern reflective of a DDoS attack"
Source: https://github.com/openai/openai-python/discussions/742
- GitHub - openai/openai-python: The official Python library for the OpenAI API
- OpenAI Python v1 Released
aider
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I Spent 24 Hours with GitHub Copilot Workspaces
My open source tool aider [0] has long offered a "AI pair programming" workflow. Aider's UX is similar but not identical to Copilot Workspaces.
Aider is more of a collaborative chat, where you work with the LLM interactively asking for a sequence of changes to your git repo. The changes can be non-trivial, modifying a group of files in a coordinated way. So much more than just the original copilot "autocomplete".
Workspaces seems more agentic, a bit like Devin. You need to do a bunch of up-front work to (fully) specify the requirements. Then the agent goes off and (hopefully) builds what you want. You need to fully understand what you want to build up front, and you need the describe it unambiguously to the agent. Also, even with a perfect request, agents often go down wrong paths and waste a lot of time and token costs doing the wrong thing.
That's not how I code personally. My process is more iterative, where I explore the problem and solution spaces as I build.
The other difference between aider and Workspaces is that currently aider is a terminal CLI tool. Although I just released a basic browser UI [1] the other day, making it more approachable for folks who are not fully comfortable on the command line.
[0] https://github.com/paul-gauthier/aider
[1] https://aider.chat/2024/05/02/browser.html
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Agents of Change: Navigating the Rise of AI Agents in 2024
Aider was developed by Paul Gaither and focuses on giving developers a pair programming experience directly from developers' terminals. This command-line tool edits code in real-time based on a user prompt in the command terminal. As of writing, it only supports OpenAI’s API but can write, edit, and refine code across multiple languages including Python, JavaScript, and HTML. Developers can use Aider for code generation, debugging, and understanding complex projects.
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2markdown – Transform Websites into Markdown
I built a similar thing in python using Playwright and Pandoc [0]. It's used by aider's `/web ` command that lets you paste a markdown version of any webpage into your AI coding chat. This helps if you want to include docs for an obscure or non-public package/api/etc with the LLM while coding.
I really value dependencies which are easy for all users to install, cross-platform. Playwright is nice because it has a simple way to install its dependencies on most platforms. And the `pypandoc` module provides a seamless install of pandoc across platforms.
The result turns most web pages into nice markdown without requiring users to solve some painful platform specific chromium dependency nightmare.
[0] https://github.com/paul-gauthier/aider/blob/main/aider/scrap...
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Aider: AI pair programming in your terminal
Thanks for trying aider, and sorry to hear you had trouble getting the hang of it. It might be worth looking through some of the tips on the aider GitHub page [0].
In particular, this is one of the most important tips: Large changes are best performed as a sequence of thoughtful bite sized steps, where you plan out the approach and overall design. Walk GPT through changes like you might with a junior dev. Ask for a refactor to prepare, then ask for the actual change. Spend the time to ask for code quality/structure improvements.
Not sure if this was a factor in your attempts? I'd be happy to help you if you'd like to open an GitHub issue [1] our jump into our discord [2].
[0] https://github.com/paul-gauthier/aider#tips
[1] https://github.com/paul-gauthier/aider/issues/new/choose
[2] https://discord.gg/Tv2uQnR88V
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Ask HN: If you've used GPT-4-Turbo and Claude Opus, which do you prefer?
Have you tried something like Agentic’s Glide? (They announced it this week here on HN)
They use gpt, but they might be able to configure it so it uses Claude
Another tool to check out could be aider https://github.com/paul-gauthier/aider
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Launch HN: Glide (YC W19) – AI-assisted technical design docs
Are you aware of the work on https://github.com/paul-gauthier/aider? What's your take on generating code diffs directly instead of code editing instructions?
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A Man in Seat 61
He should add AI to his site!
Not really - the site is great as-is and there's nothing wrong with this approach. It looks like it works really well for Mr. 61.
But I'd imagine it'd be pretty helpful to write tools to help with maintaining the site which do leverage LLM models. Do a combination of search + AI to rewrite + reviewing the individual edits (e.g. through selective git adds).
I'm imagining a tool like https://github.com/paul-gauthier/aider (which I haven't tried yet, but it looks useful for this kind of effort).
- Ask HN: What is the, currently, best Programming LLM (copilot) subscriptions?
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Web Scraping in Python – The Complete Guide
I recently used [0] Playwright for Python and [1] pypandoc to build a scraper that fetches a webpage and turns the content into sane markdown so that it can be passed into an AI coding chat [2].
They are both very gentle dependencies to add to a project. Both packages contain built in or scriptable methods to install their underlying platform-specific binary dependencies. This means you don't need to ask end users to use some complex, platform-specific package manager to install playwright and pandoc.
Playwright let's you scrape pages that rely on js. Pandoc is great at turning HTML into sensible markdown. Below is an excerpt of the openai pricing docs [3] that have been scraped to markdown [4] in this manner.
[0] https://playwright.dev/python/docs/intro
[1] https://github.com/JessicaTegner/pypandoc
[2] https://github.com/paul-gauthier/aider
[3] https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turb...
[4] https://gist.githubusercontent.com/paul-gauthier/95a1434a28d...
## GPT-4 and GPT-4 Turbo
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DeepSeek Coder: Let the Code Write Itself
Thanks for trying aider, and sorry to hear you had trouble getting the hang of it. It might be worth looking through some of the tips on the aider github page:
https://github.com/paul-gauthier/aider#tips
In particular, this is one of the most important tips: Large changes are best performed as a sequence of thoughtful bite sized steps, where you plan out the approach and overall design. Walk GPT through changes like you might with a junior dev. Ask for a refactor to prepare, then ask for the actual change. Spend the time to ask for code quality/structure improvements.
Not sure if this was a factor in your attempts? But it's best not to ask for a big sweeping change all at once. It's hard to unambiguously and completely specify what you want, and it's also harder for GPT to succeed at bigger changes in one bite.
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
gpt-engineer - Specify what you want it to build, the AI asks for clarification, and then builds it.
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
gpt-pilot - The first real AI developer
langchain - 🦜🔗 Build context-aware reasoning applications
llama-cpp-python - Python bindings for llama.cpp
openai-node - The official Node.js / Typescript library for the OpenAI API
ollama-ui - Simple HTML UI for Ollama
ChatGPT-AutoExpert - 🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
tabby - Self-hosted AI coding assistant
sharegpt - Easily share permanent links to ChatGPT conversations with your friends
continue - ⏩ Open-source VS Code and JetBrains extensions that enable you to easily create your own modular AI software development system