AI Backends
@aibackends
Followers
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Easily add common AI use cases to your Apps and Workflows Try Open Models in LLM Gateway https://t.co/zldhLVqGVJ
Singapore
Joined July 2025
Tested legal doc review with @ollama Running locally — no need to redact PII Using Gemma3 4B model by Google
Added legal document review support to @aibackends Haven't tested with local models yet But works great with claude, gemini and glm models
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Exploring sensitive info PII redaction using local models Someone in the hf forums suggested these models > Distil-PII Llama 3.2 1B best “small but strong” baseline for local use > Distil-PII Llama 3.2 3B use if you can afford more compute and want more headroom > Distil-PII
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Added legal document review support to @aibackends Haven't tested with local models yet But works great with claude, gemini and glm models
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Added vision and ocr endpoints to @aibackends Powered by the newly released @Zai_org GLM4.6V Thank you Opus 4.5, my coding assistant
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FYI @llmgateway support Recommended cloud provider https://t.co/vuRX3O1sYW
llmgateway.io
Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.
Merged @llmgateway as new provider in @aibackends Mostly tested the supported use cases using free models in llmgw Good job @warpdotdev and opus 4.5 https://t.co/BmvfUujx1n
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Added synthetic data generation in @aibackends - supports custom json schema response format - works with local models in @ollama and @lmstudio - works with hosted open models in @basetenco - works with @OpenRouterAI @OpenAI @GoogleAIStudio @claudeai @vercel AI gateway providers
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Guys, you can now run your open models APIs in @basetenco and use @aibackends to serve your AI endpoints
New provider @basetenco dropped in @aibackends I've configured my account with these open models DeepSeek R1 and V3, Qwen 3, GPT OSS 120B so I can test inference with @aibackends use cases It's a good option if you want to roll out quick inference for your AI project, I like it
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there's more use cases to AI than coding and I'm uncovering it easily integrate AI use cases into business workflows, that's my idea for @aibackends and supporting commercial and open models so organisations have options whether for cost or privacy reasons I got an email from
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waaah I found a library which can convert openapi specs to llms. txt implemented it in @aibackends this will make it easier to integrate AI backends to your app with AI coding
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New feature dropped! PDF Summarizer
Added a PDF summarizer feature in @aibackends >> Give it a URL of a PDF file >> @aibackends extracts data from the PDF >> Responds back with the summary of the document Works with local models using @ollama so you can use it for free For production deployments, it works with
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what if you can use local models for writing Obsidian powered by @aibackends using Gemma 3:4b locally initial prototype 👇
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Implemented Compose feature in @aibackends Using Codex IDE in cursor It feels good since it follow your code convention and does not overdo features
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Thoughts?
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Stay tuned!
Notion AI is cooked Got something working using the @aibackends plugin for Summarization in Obsidian You can use local models for your notes for FREE using @aibackends and @ollama as provider. Should work with @lmstudio too. The demo uses gemma3:4b for summarization 👇
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We have a new provider Vercel AI Gateway
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