构建多模型 AI 代理:OpenAI、Ollama、Groq 和 Gemini

📄 中文摘要

当前大多数 AI 应用依赖单一的 LLM 提供商,这在 API 故障、速率限制或成本失控时会带来问题。构建能够协调多个模型的代理,并根据任务切换模型是一种更好的方法。该框架支持 OpenAI GPT-4、Ollama 本地模型、Groq 超快速推理和 Google Gemini 作为可互换的后端。不同的提供商各有优势:OpenAI GPT-4 在推理和函数调用方面表现最佳,Ollama 在本地运行时具有零延迟和无 API 成本,Groq 提供低于 200 毫秒的实时推理能力。

📄 English Summary

Building Multi-Model AI Agents with OpenAI, Ollama, Groq and Gemini

Most AI applications today rely on a single LLM provider, which can lead to issues when APIs go down, rate limits are hit, or costs spiral out of control. A more effective approach is to build agents that can orchestrate multiple models and switch between them based on the task at hand. This framework supports OpenAI GPT-4, Ollama local models, Groq ultra-fast inference, and Google Gemini as interchangeable backends. Each provider has its strengths: OpenAI GPT-4 excels in reasoning and function calling, Ollama runs locally with zero latency and no API costs, and Groq delivers sub-200ms inference for real-time applications.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等