media-agent
llm-client-sdk
| media-agent | llm-client-sdk | |
|---|---|---|
| 2 | 3 | |
| 109 | 71 | |
| - | - | |
| 7.1 | 6.4 | |
| 10 months ago | 10 months ago | |
| Python | Python | |
| - | MIT License |
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media-agent
llm-client-sdk
- LLM-Client – Python library for seamless integration with LLMs
- Show HN: Litellm – simple library to standardize OpenAI, Cohere, Azure LLM I/O
-
LangChain vs. LLM-Client
That’s where llm-client and LangChain come into play. These LLM integration tools provide a streamlined approach to incorporating different language models into your projects. They simplify the integration process, abstracting away the complexities and nuances associated with each individual LLM. With llm-client and LangChain, you can save valuable time and effort that would otherwise be spent on understanding and integrating multiple LLMs.
What are some alternatives?
Bot-Deschamps-Newsletter - Oi, eu sou um Bot que lê a Newsletter do Filipe Deschamps e transforma cada notícia em um Tweet.
VimGPT - Experimental LLM agent/toolkit with direct Vim access using neovim/pynvim
llmware - Unified framework for building enterprise RAG pipelines with small, specialized models
amadeus-python - Python library for the Amadeus Self-Service travel APIs
YiVal - Your Automatic Prompt Engineering Assistant for GenAI Applications
valheim-ai-assistant - Ask AI (Google Bard) questions what to make next in Valheim, by parsing your save data to Bard
llmflows - LLMFlows - Simple, Explicit and Transparent LLM Apps
llm-gateway - Gateway for secure & reliable communications with OpenAI and other LLM providers
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
generative-ai-for-beginners - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
py2gpt - Convert Python code into JSON consumable by OpenAI's function API.
falcongpt - Simple GPT app that uses the falcon-7b-instruct model with a Flask front-end.