litellm
dify
litellm | dify | |
---|---|---|
29 | 14 | |
9,506 | 33,181 | |
13.5% | 22.7% | |
10.0 | 9.9 | |
6 days ago | 1 day ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
litellm
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RAG with llama.cpp and external API services
Next, we'll show how an Embeddings database can integrate with external API services via LiteLLM .
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Anthropic launches Tool Use (function calling)
There are a few libs that already abstract this away, for example:
- https://github.com/BerriAI/litellm
- https://jxnl.github.io/instructor/
- langchain
It's not hard for me to imagine a future where there is something like the CNCF for AI models, tools, and infra.
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Ask HN: Python Meta-Client for OpenAI, Anthropic, Gemini LLM and other API-s?
Hey, are you just looking for litellm - https://github.com/BerriAI/litellm
context - i'm the repo maintainer
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Voxos.ai – An Open-Source Desktop Voice Assistant
It should be possible using LiteLLM and a patch or a proxy.
https://github.com/BerriAI/litellm
- Show HN: Talk to any ArXiv paper just by changing the URL
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Integrate LLM Frameworks
This article will demonstrate how txtai can integrate with llama.cpp, LiteLLM and custom generation methods. For custom generation, we'll show how to run inference with a Mamba model.
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Is there any open source app to load a model and expose API like OpenAI?
I use this with ollama and works perfectly https://github.com/BerriAI/litellm
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OpenAI Switch Kit: Swap OpenAI with any open-source model
Another abstraction layer library is: https://github.com/BerriAI/litellm
For me the killer feature of a library like this would be if it implemented function calling. Even if it was for a very restricted grammar - like the traditional ReAct prompt:
Solve a question answering task with interleaving Thought, Action, Observation usteps. Thought can reason about the current situation, and Action can be three types:
- LibreChat
- LM Studio – Discover, download, and run local LLMs
dify
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What We've Learned from a Year of Building with LLMs
Perhaps this would be of use? https://github.com/langgenius/dify/ I use it for quick workflows and it's pretty intuitive.
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Ask HN: LLM workflows to avoid copying and pasting from the web interfaces?
This visual IDE for LLM pipelines was posted recently: https://github.com/langgenius/dify
See if it helps.
- FLaNK AI Weekly for 29 April 2024
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Dify, a visual workflow to build/test LLM applications
> https://github.com/langgenius/dify/blob/main/LICENSE
everyone is apparently a license pioneer
- Dify, an end-to-end, visualized workflow to build/test LLM applications
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GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
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Which LLM framework(s) do you use in production and why?
If you are looking to develop QnA or chat based apps then check out https://dify.ai. Do a quick check and see if it fit your requirements. You can integrate it with your app using the apis it provides
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New Discoveries in No-Code AI App Building with ChatGPT
As an AI newbie, I used to find coding apps from scratch an absolute nightmare! The learning curve was steep as a ski slope, debugging took endless hours, and developing even a simple AI app nearly drove me insane! But since discovering Dify, it has totally revolutionized my life by enabling app development without any coding skills!
- FLaNK Stack Weekly for 14 Aug 2023
- Interesting LLMOps Tools Dify.ai
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
langchain-llm-katas - This is a an open-source project designed to help you improve your skills with AI engineering using LLMs and the langchain library
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
chainlit - Build Conversational AI in minutes ⚡️
LocalAI - :robot: The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
libsql - libSQL is a fork of SQLite that is both Open Source, and Open Contributions.
jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
kudu - Mirror of Apache Kudu