Implementing Ollama client applications in Go

Ollama API is a powerful tool designed to facilitate the development and deployment of large language models (LLMs) by providing a robust set of features and efficient model serving capabilities. As of 2025, Ollama supports multiple LLMs, including the latest versions of models such as Google’s FunctionGemma, Nemotron 3 Nano, Olmo 3, and Devstral-Small-2. This versatility allows developers to choose the most suitable model for their specific use cases, whether it be for code generation, natural language processing, or other specialized tasks.

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Building LLM applications with Go using the Ollama API enables scalable, efficient deployments with support for models like Llama3 and Gemma. The /v1/chat/completions endpoint allows Go applications to send HTTP POST requests in OpenAI-compatible format, while the /api/generate endpoint supports real-time inference and log probabilities for specialized use cases. Streaming responses via the stream parameter reduces latency and memory usage by delivering model outputs incrementally. To deploy effectively, ensure Kubernetes 1.35+ with 8 CPU cores and 16GB memory per node, and open ports 443, 80, 6443, 10250, and 8080. Use Go 1.23+ and the Ollama Go client library for seamless integration. 

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