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Source channel @githubtrending · Post #15521 · Feb 25

#rust#ai_gateway#ai_gateway_support#envoy#envoyproxy#gateway#generative_ai#llm_gateway#llm_inference#llm_proxy#llm_routing#llmops#llms#openai#prompt#proxy#proxy_server#routing Plano is an AI-native proxy server that handles key tasks for agentic apps like routing between agents, smart LLM model selection, safety guardrails, and automatic traces for observability. Define agents in simple YAML, write basic HTTP code in any language, and start Plano to run multi-agent systems without custom plumbing or framework lock-in. You benefit by building and shipping reliable agents to production much faster, focusing on core logic while gaining safety, low latency, and easy scaling. https://github.com/katanemo/plano

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#rust #ai_gateway #ai_gateway_support #envoy #envoyproxy #gateway #generative_ai #llm_gateway #llm_inference #llm_proxy #llm_routing #llmops #llms #openai #prompt #proxy #proxy_server #routing

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djangoproject

@djangoproject · Post #270 · 02/26/2017, 08:08 AM

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https://www.obeythetestinggoat.com/testing-async-asyncio-and-performance.html #Testing, #async, #asyncio, and #performance Sun 27 December 2015 By Harry I recently did some experimenting with asyncio, and wanted to report back on how I got on with writing tests for it. While I was at it I was also able to compare its performance with a couple of other approaches to #mutlitasking in Python, namely #threads and #gevent, so I'll report on that here too. (tl;dr: it's much of a muchness).

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#testing #async #asyncio #performance #mutlitasking #threads #gevent