ij23

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  1. We built this library because agent harnesses were too fragmented and we needed a simple abstraction to call multiple coding-agent SDKs. lite-harness has one function - query() import { query } from "@lite-harness/sdk";…

  2. Hello Hacker News, Stop relying on benchmarks and easily test LLMs in production. Try it here: https://admin.litellm.ai/ LiteLLM allows you to simplify calling any LLM as a drop in replacement for gpt-3.5-turbo We're…

  3. Hello hacker news, I’m the maintainer of liteLLM() - package to simplify input/output to OpenAI, Azure, Cohere, Anthropic, Hugging face API Endpoints: https://github.com/BerriAI/litellm/ We’re open sourcing our…

  4. Needed a simple way to call multiple LLM providers. LiteLLM provides 2 functions - `completion` and `embedding`; and guarantees consistent input/output formats across all providers. That's it!

  5. I built this library because langchain was too bloated and I needed a simple abstraction to call multiple LLM APIs. litellm has two functions - completion(), embedding()

  6. reliableGPT handles GPT-4 429 rate limit errors it optimally allocate jobs for incoming requests to maximize usage of Requests/min and Token/min limits

  7. Hi HN - Ishaan and Krrish here from BerriAI. We’ve built a hallucination monitoring tool for LLM Apps in production, that can instantly identify language mistranslations (responding to a user in the incorrect language)…