litellm
| anthropic-tokenizer-typescript | litellm | |
|---|---|---|
| 1 | 30 | |
| 45 | 10,066 | |
| - | 7.0% | |
| 2.9 | 10.0 | |
| 4 months ago | 5 days ago | |
| TypeScript | Python | |
| MIT License | GNU General Public License v3.0 or later |
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anthropic-tokenizer-typescript
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Show HN: Token price calculator for 400+ LLMs
Anthropic actually has a Claude 3 tokenizer tucked away in one of their repos: https://github.com/anthropics/anthropic-tokenizer-typescript
At this moment, Tokencost uses the OpenAI tokenizer as a default tokenizer, but this would be a welcome PR!
litellm
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Show HN: Token price calculator for 400+ LLMs
Very cool! Is this cost directory you're using the best source for historical cost per 1M tokens? https://github.com/BerriAI/litellm/blob/main/model_prices_an...
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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
What are some alternatives?
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
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.
dify - Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
text-generation-webui - A Gradio web UI for Large Language Models.
libsql - libSQL is a fork of SQLite that is both Open Source, and Open Contributions.
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
promptfoo - Test your prompts, agents, and RAGs. Use LLM evals to improve your app's quality and catch problems. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
ollama-webui - ChatGPT-Style WebUI for LLMs (Formerly Ollama WebUI) [Moved to: https://github.com/open-webui/open-webui]
deepeval - The LLM Evaluation Framework
pkgx - the last thing you’ll install
kudu - Mirror of Apache Kudu