#typescript #ai #azure_openai_api #chat #chatglm #chatgpt #claude #dalle_3 #function_calling #gemini #gpt #gpt_4 #gpt_4_vision #knowledge_base #nextjs #ollama #openai #qwen2 #rag #tts

LobeChat is an open-source, modern chatbot framework that supports ChatGPT and other Large Language Models (LLMs). It offers several key features Works with multiple AI model providers like OpenAI, Google AI, and more.
- **Speech Synthesis and Voice Conversation** Can recognize and respond to images using models like GPT-4 Vision.
- **Text to Image Generation** Extends functionality with plugins for tasks like web searches and document management.
- **One-Click Deployment** Offers customizable themes and optimized mobile experience.

These features make LobeChat highly flexible and user-friendly, allowing you to create a personalized and powerful chatbot with minimal setup.

https://github.com/lobehub/lobe-chat

#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

#python #ai_gateway #anthropic #azure_openai #bedrock #gateway #langchain #llm #llm_gateway #llmops #openai #openai_proxy #vertex_ai

LiteLLM is a tool that helps you use different AI models from various providers like OpenAI, Azure, and Huggingface in a simple way. Here’s how it benefits you You can call any AI model using a consistent format, making it easier to switch between different providers.
- **Consistent Output** You can set budgets and rate limits for your projects, helping you manage costs and usage efficiently.
- **Retry and Fallback Logic** It supports streaming responses and asynchronous calls, which can improve performance.
- **Logging and Observability**: You can easily log data to various tools like Lunary, Langfuse, and Slack, helping you monitor and analyze your AI usage.

Overall, LiteLLM simplifies working with multiple AI providers, makes your code cleaner, and helps you manage resources better.

https://github.com/BerriAI/litellm