How to integrate multiple LLM providers and local vLLM servers into a single automation framework

How to integrate multiple LLM providers and local vLLM servers into a single automation framework

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Nanobo

Nanobot is an ultra-lightweight personal AI assistant framework that delivers full agent capabilities in a compact, readable codebase. It supports multiple LLM providers, local vLLM servers, and task-focused agents for research, automation, and daily workflows with minimal configuration and fast deployment.

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What to expect from an ideal product

  1. Nanobot connects to multiple LLM providers through a single configuration file, letting you switch between OpenAI, Anthropic, and other services without changing your code
  2. The framework includes built-in support for local vLLM servers, so you can run your own models alongside cloud providers in the same workflow
  3. Task-focused agents handle different parts of your automation pipeline, with each agent able to use different LLM backends based on what works best for that specific job
  4. Fast deployment means you can spin up new integrations in minutes rather than hours, with minimal setup required to add new LLM providers to your existing workflows
  5. The compact codebase makes it easy to customize how different LLM providers are called and managed, giving you full control over routing requests based on cost, speed, or capability needs

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