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Building a Policy-Governed Multi-Agent Financial Research Workflow with Omnigent

MarkTechPost
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Building a Policy-Governed Multi-Agent Financial Research Workflow with Omnigent
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In this tutorial, we demonstrate how to build and execute a multi-agent workflow with Omnigent in a secure, isolated Python environment.

Learn to integrate live exchange-rate data, implement hierarchical agent delegation for financial text auditing, and apply hard governance policies—such as cost budgets and tool call limits—to your research pipeline directly from Google Colab.

This is a summary. For the full story, read the original article at MarkTechPost.

Original source: MarkTechPost

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