PyLLMs: – Connect and compare top AI models in Python
Hi HN, We needed a simple way to connect to the top AI models to experiment, prototype and evaluate them. Main features: - Connect to top LLMs in few lines of code (currenly OpenAI, Anthropic and AI21 are supported) - Response meta includes tokens processed, cost and latency standardized across the models - Multi-model support: Get completitions from different models at the same time - LLM benchmark: Eevaluate models on quality, speed and cost The benchmark uses predefine questions to test AI reasoning abilities across a range of "hard" queries. The outputs are then automatically evaulauted…
PyLLMs: – Connect and compare top AI models in Python launched on April 13, 2023 with 6 votes, #2,033 of 4,853 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 3 years on.
What it does
Minimal Python library to connect to LLMs (OpenAI, Anthropic, Google, Groq, Reka, Together, AI21, Cohere, Aleph Alpha, HuggingfaceHub), with a built-in model performance benchmark. - kagisearch/pyllms
In the maker’s words, at launch
Hi HN, We needed a simple way to connect to the top AI models to experiment, prototype and evaluate them. Main features: - Connect to top LLMs in few lines of code (currenly OpenAI, Anthropic and AI21 are supported) - Response meta includes tokens processed, cost and latency standardized across the models…
Does a similar job
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Source: Show HN post ↗ · launch text quoted in part
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