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Day 13 Elma My favorite Xenoblade game is the first one and my second one is actually Xenoblade x because the exploration made me feels like an adventurer, I really hope they remake it for switch ゼノブレイドの1作目一番好き、2番目はゼノブレイドxです。一番冒険家のように探索めっちゃ楽しかった、スイッチでリメイクしてほしい。 #モノリスソフト25周年# #Monolithsoft_25th_anniversary#
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Switch out lever gates with ease on the FlexStrike wireless fight stick:
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Switch models. Keep the memory. Walrus Memory moves with your agents across runtimes, so changing providers doesn't reset what they know.
Switch between OpenAI, Anthropic, and Google by changing one line — a library that erases the pain of learning each provider's SDK 🔌 Title: andrewyng/aisuite URL: 🔌 Overview A lightweight Python library by Andrew Ng. It lets you call multiple LLM providers through a unified, OpenAI-style interface. Just specify the model as "provider:model-name" and run the same code across providers. ❓ Challenges Solved Working with multiple LLM providers means memorizing distinct SDKs, APIs, and parameter structures — real development friction. ・aisuite solves this fragmentation problem ・It standardizes requests and responses so you focus on logic, not SDK differences 💡 Key Features ・Chat Completions API: a provider-agnostic layer (supports temperature, max_tokens, tools) ・Agents API: structured agents with tool handling, state persistence, and governance via tool policies ・Toolkits: pre-sandboxed tool families for files, git, and shell operations ・MCP support: natively use any MCP server's tools ・OpenCoworker: a desktop AI agent app built on aisuite It uses a provider adapter pattern, auto-discovering and instantiating providers from the model string per naming conventions. 🌍 Supported Providers / Usage Supports OpenAI, Anthropic, Google, Mistral, Hugging Face, AWS, Cohere, Ollama, OpenRouter, and more (extensible). Create ai.Client() and call with model="openai:gpt-4o" — switching providers is just changing the model string. MIT-licensed. #LLM# #OpenSource#
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