Guide to Using OnPrem.LLM Agent Pipeline for Autonomous AI Task Execution
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wiseprobe
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Summary
This article demonstrates how to use the Agent pipeline from OnPrem.LLM to create autonomous AI agents that can execute complex tasks using various tools. It explains how the pipeline works with any LiteLLM-supported model that supports tool-calling, including both cloud models (like Anthropic's Claude Sonnet 4.5) and local models (like GLM-4.7-flash). The article focuses on running on-premises large language models on non-public data, providing technical guidance for developers working with AI agent systems.
Key quotes
· 4 pulledThis notebook demonstrates how to use the Agent pipeline from OnPrem.LLM to create autonomous agents that can execute complex tasks using a variety of tools.
The pipeline works with any LiteLLM-supported model that supports tool-calling:
The AgentExecutor allows you to launch AI agents to solve various tasks using both cloud and local models.
A tool for running on-premises large language models on non-public data
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