#csharp #dall_e #dotnet #gpt_3 #openai #openai_api #sdk

https://github.com/betalgo/openai

#php #cakephp #dall_e #dalle2 #gpt_3 #laravel #openai #openai_api #symfony #yii

https://github.com/orhanerday/open-ai

#python #artificial_intelligence #asyncio #bot #chatbot #dalle2 #deepl #discord #embeddings #extractive_question_answering #fault_tolerant #gpt3 #help_wanted #image_generator #moderation #moderator_bot #openai #openai_api #pinecone #translator

https://github.com/Kav-K/GPT3Discord

#jupyter_notebook #chatbot #chatgpt #chatgpt_api #chatgpt3 #malware #malwareanalysis #managers #openai #openai_api #python

https://github.com/NoDataFound/hackGPT

#typescript #ai #api #bard #bing #chat #chatbot #chatgpt #chatgpt_api #free #gpt_3 #gpt_4 #openai #openai_api #reverse_proxy

https://github.com/PawanOsman/ChatGPT

#python #chatbot #chatbots #chatgpt #chatgpt_4 #chatgpt_api #chatgpt_free #chatgpt4 #free_gpt #gpt #gpt_3 #gpt_4 #gpt3 #gpt4 #gpt4_api #language_model #openai #openai_api #openai_chatgpt #python #reverse_engineering

The `gpt4free` project is a tool that allows you to use various AI models like GPT-3.5 and DALL-E 3 without paying for expensive APIs. Here’s how it helps you It supports multiple AI providers, including OpenAI, Bing, and others, allowing you to choose the best option for your needs.
- **Easy Installation** It includes a web UI that you can access locally, making it easy to interact with the AI models.
- **Customization** The project is open-source and actively maintained by a community of contributors, ensuring continuous improvements and new features.

Overall, `gpt4free` provides a flexible and cost-effective way to leverage advanced AI capabilities.

https://github.com/xtekky/gpt4free

#javascript #api #api_gateway #azure_openai_api #chatgpt #claude #ernie_bot #gemini #gpt #openai #openai_api #proxy

One API is a tool that allows you to access various large language models using the standard OpenAI API format. Here’s what you need to know It supports a wide range of models including OpenAI ChatGPT, Anthropic Claude, Google PaLM2/Gemini, and many more.
- **Easy Deployment** It includes features like load balancing, stream mode for typing effects, token management, channel management, and user grouping.
- **Customization** It requires you to follow OpenAI's terms of use and legal regulations. It also warns against using root user without changing the default password.

Using One API benefits you by providing a unified interface to access multiple AI models, flexible deployment options, and extensive customization capabilities, making it easier to manage and use AI services efficiently.

https://github.com/songquanpeng/one-api

#other #openai #openai_api

OpenAPI specification for the OpenAI API

https://github.com/openai/openai-openapi

#jupyter_notebook #a2a #agentic_ai #dapr #dapr_pub_sub #dapr_service_invocation #dapr_sidecar #dapr_workflow #docker #kafka #kubernetes #langmem #mcp #openai #openai_agents_sdk #openai_api #postgresql_database #rabbitmq #rancher_desktop #redis #serverless_containers

The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4].

https://github.com/panaversity/learn-agentic-ai

#java #anthropic #chatgpt #chroma #embeddings #gemini #gpt #huggingface #java #langchain #llama #milvus #ollama #onnx #openai #openai_api #pgvector #pinecone #vector_database #weaviate

LangChain4j helps you add powerful AI to your Java applications by making it easy to use Large Language Models (LLMs). It provides a simple way to switch between different LLMs and embedding stores without needing to learn each one's specific API. This means you can easily experiment with different models and tools, making your development process faster and more flexible. LangChain4j also offers many examples and tools to help you build complex AI applications quickly, such as chatbots and retrieval systems. This simplifies the integration of AI into your projects, allowing you to focus on creating better applications.

https://github.com/langchain4j/langchain4j

#python #gemini #gemini_api #googlesearch #imagen_3 #load_balancer #openai_api

Gemini Balance is a Python-based tool that acts as a proxy and load balancer for the Google Gemini API, letting you manage multiple API keys efficiently by rotating them automatically to improve availability and concurrency. It supports both Gemini and OpenAI API formats, enabling chat, image generation, image editing, and web search features. You can monitor key status in real-time, configure settings visually without restarting, and use proxies for special network needs. It also supports Docker deployment for easy setup. This helps you reliably use Gemini API services with better performance, flexibility, and monitoring, saving you time and effort in managing API keys and requests.

https://github.com/snailyp/gemini-balance