sreenathmenon

5 ms·

1.
by sreenathmenon 13d ago
One sample I have tried in a Pen Fight Game (old school nostalgia) Agent v/s Game bot (Audience can enter and alter the game -still early stages) https://mela-web-production.up.railway.app/
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WebMCP: Teaching Your Website to Talk to AI Agents(sreenathmenon.com)
57 points by sreenathmenon 23d ago|60 comments
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Show HN: LLMSwap – Switch between LLM providers with one line of code(github.com)
3 points by sreenathmenon 9mo ago|1 comments
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by sreenathmenon 9mo ago
Universal SDK for working with multiple LLM providers (OpenAI, Anthropic, Gemini, etc.). Built-in caching can reduce API costs by 90%+. 15K+ PyPI downloads. pip install llmswap
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Llmswap: Avoid LLM vendor lock-in – 10 providers with top LMArena models(github.com)
2 points by sreenathmenon 1y ago|1 comments
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by sreenathmenon 1y ago
Universal SDK for switching between any LLM provider with one line. 10 providers: OpenAI, Anthropic (Claude Sonnet 4.5), Google Gemini, xAI Grok, Cohere, Perplexity, IBM Watsonx, Groq, Ollama, Sarvam AI. Key features: - Workspace memory: AI
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Show HN: Llmswap – Solving "Multiple Second Brains" with Per-Project AI Memory
2 points by sreenathmenon 1y ago|0 comments
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Droids by Factory(businesswire.com)
3 points by sreenathmenon 1y ago|0 comments
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by sreenathmenon 1y ago
Cool
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by sreenathmenon 1y ago
:)
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by sreenathmenon 1y ago
At some point, I have used AI ad my friend, mentor, teacher, etc.
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Show HN: Llmswap – Universal AI SDK and Code Generation CLI(sreenathmenon.com)
5 points by sreenathmenon 1y ago|0 comments
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by sreenathmenon 1y ago
good work :)
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by sreenathmenon 1y ago
Love it :)
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Show HN: Llmswap v3.0 – CLI and SDK for OpenAI, Claude, Gemini, Watsonx(pypi.org)
2 points by sreenathmenon 1y ago|0 comments
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by sreenathmenon 1y ago
Fair point! Redis would be better for production. I went with in-memory for zero-config simplicity, but should add Redis as an option. Thanks!
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by sreenathmenon 1y ago
Hey, functools.cache is definitely simpler and would be sufficient for most basic cases. But I was thinking of multi-tenant and context aware scenario's - that's why went with different strategy.
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by sreenathmenon 1y ago
Hey, Thanks for the great feedback! You're raising valid point. Actually, this package started based on a hackathon project where I was burning the Anthropic API credits for our hackathon project which was RAG (internal documentation)
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Show HN: Llmswap – Python package to reduce LLM API costs by 50-90% with caching(pypi.org)
12 points by sreenathmenon 1y ago|6 comments
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Llmswap v1.5.0 – Added IBM watsonx support to my multi-LLM Python library(pypi.org)
1 points by sreenathmenon 1y ago|1 comments
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by sreenathmenon 1y ago
Just released v1.5.0 with IBM watsonx integration. ```python # Works with any provider now client = LLMClient(provider="watsonx") client = LLMClient(provider="anthropic") client = LLMClient(provider="ope
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Llmswap – Switch between OpenAI, Claude, Gemini, Ollama with one line of code(pypi.org)
1 points by sreenathmenon 1y ago|0 comments