OpenAI-DotNet
openai-node
OpenAI-DotNet | openai-node | |
---|---|---|
37 | 22 | |
613 | 7,062 | |
6.2% | 2.4% | |
7.7 | 9.5 | |
10 days ago | 10 days ago | |
C# | TypeScript | |
MIT License | 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-DotNet
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Website Optimization Using Strapi, Astro.js and OpenAI
Okay, now we've confirmed the API endpoint is working, let's connect it to OpenAI first, install the OpenAI package, navigate to the route directory, and run the command below in our terminal
- OpenAI page changed: new Search picture
- OpenAI Website Relaunch
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Simplify Restaurant Reservations with Lyzr.ai's Chatbot-Powered App
You can obtain an OpenAI API key by visiting the OpenAI website.
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Build an AI Code Translator (and Optimizer) Using ToolJet and OpenAI
OpenAI Account: Register for an OpenAI account to utilize AI-powered features in your ToolJet applications. Sign up here.
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KodiBot - Local Chatbot App for Desktop
KodiBot is a desktop app that enables users to run their own AI chat assistants locally and offline on Windows, Mac, and Linux operating systems. KodiBot is a standalone app and does not require an internet connection or additional dependencies to run local chat assistants. It supports both Llama.cpp compatible models and OpenAI API.
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Sentiment Analysis with PubNub Functions and HuggingFace
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides open-source AI and machine learning models that can easily be deployed on HuggingFace itself or third-party systems such as Amazon SageMaker or Azure ML. You can interface with these deployments through an API and control the scaling of these models, which makes them perfectly suited for production environments. These models range in size but are generally small AI models that are good at doing one specific task. With capabilities to fine-tune these models, or use the pre-trained model for specific tasks, embedding them into various applications becomes more efficient, enhancing automation and performance. Combining these models can create new and intricate AI applications. In this case, by utilizing HuggingFace models, you wouldn’t have to depend on a production application on a third-party provider such as OpenAI or Google, ensuring a more targeted and customizable approach to deploying deep learning solutions in your operations.
- Analiza nastrojów za pomocą funkcji PubNub i HuggingFace
- Sentiment-Analyse mit PubNub-Funktionen und HuggingFace
- Analyse des sentiments avec les fonctions PubNub et HuggingFace
openai-node
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Website Optimization Using Strapi, Astro.js and OpenAI
Okay, now we've confirmed the API endpoint is working, let's connect it to OpenAI first, install the OpenAI package, navigate to the route directory, and run the command below in our terminal
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JSON {} With OpenAI 🤖✨
For my setup, I am using the node version of the openai sdk.
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The Stainless SDK Generator
We try to keep it to a minimum, especially in JS (though we have some nice improvements coming soon when we deprecate node-fetch in favor of built-in fetch). The package sizes aren't tiny because we include thorough types and sourcemaps, but the bundle sizes are fairly tidy.
Here's an example of a typical RESTful endpoint (Lithic's `client.cards.create()`:
https://github.com/lithic-com/lithic-node/blob/36d4a6a70597e...
Here are some example repos produced by Stainless:
1. https://github.com/openai/openai-node
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OpenAI: Streaming is now available in the Assistants API
Have you seen/tried the `.runTools()` helper?
Docs: https://github.com/openai/openai-node?tab=readme-ov-file#aut...
Example: https://github.com/openai/openai-node/blob/bb4bce30ff1bfb06d...
(if what you're fundamentally trying to do is really just get JSON out, then I can see how json_mode is still easier).
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OpenAI has Text to Speech Support now!
And so, I impulsively upgraded to the latest version of openai (I guess not anymore) without the fear of getting cut by cutting edge 😝 and got it working for some random text
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AI for Web Devs: Faster Responses with HTTP Streaming
UPDATE 2023/11/15: I used fetch and custom streams because at the time of writing, the openai module on NPM did not properly support streaming responses. That issue has been fixed, and I think a better solution would be to use that module and pipe their data through a TransformStream to send to the client. That version is not reflected here.
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AI for Web Devs: Your First API Request to OpenAI
You may notice the JavaScript package available on NPM called openai. We will not be using this, as it doesn’t quite support some things we’ll want to do, that fetch can.
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Building and deploying AI agents with E2B
openai - For using the GPT-3.5-turbo model to answer the questions
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Aiconfig – source control format for gen AI prompts, models and settings
We have a bit of context about this in the readme: https://github.com/lastmile-ai/aiconfig#what-problem-it-solv.... The main issue with keeping it in code is that it tangles application code with prompts and model-specific logic.
That makes it hard to evaluate the genAI parts of the application, and also iterating on the prompts is not as straightforward as opening up a playground.
Having the config be the source of truth let's you connect it to your application code (and still source controlled), lets you evaluate the config as the AI artifact, and also lets you open the config in a playground to edit and iterate.
For example, compare how much simpler openai function calling becomes with storing the stuff as a config: https://github.com/lastmile-ai/aiconfig/blob/main/cookbooks/... vs using vanilla openai directly (https://github.com/openai/openai-node/blob/v4/examples/funct...)
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Build a Chatbot With OpenAI, Vercel AI and Xata
In your preferred serverless environment, make sure you install the OpenAI API Library and Vercel AI library to get started.
What are some alternatives?
openai - OpenAI .NET sdk - Azure OpenAI, ChatGPT, Whisper, and DALL-E
liboai - A C++17 library to access the entire OpenAI API.
generative-ai-for-beginners - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
openai-python - The official Python library for the OpenAI API
speak-gpt - Your personal voice assistant based on OpenAI ChatGPT.
fern - 🌿 Stripe-level SDKs and Docs for your API
OpenAI.Net - OpenAI library for .NET
vrite - Open-source developer content platform
NCalc2 - expression evaluator for .NET with built-in compiler
tiptap - The headless rich text editor framework for web artisans.
SlackAI - Slack LLM app integration
ai - Build AI-powered applications with React, Svelte, Vue, and Solid [Moved to: https://github.com/vercel/ai]