This article details how to integrate local LLMs, specifically the Gemma 4 model via Ollama, with the .NET Aspire GenAI visualizer. This setup allows developers to inspect LLM conversations, including prompts, responses, and token usage, directly within the Aspire dashboard without relying on Azure services. The integration leverages OpenTelemetry GenAI semantic conventions, enabling compatibility with any OpenAI-compatible backend, thus offering benefits like enhanced data privacy, predictable costs, and faster iteration cycles for local AI development. AI
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IMPACT Enables local LLM debugging and visualization, potentially speeding up development and improving data privacy for .NET applications.
RANK_REASON This article describes a method for integrating a specific LLM backend with a development tool's visualization feature.
