VentureBeat November 21, 2024
Israeli startup xpander.ai has introduced the Agent Graph System (AGS), which it says is a major new approach to building more reliable and efficient multi-step AI agents based on underlying AI models such as OpenAI’s GPT-4o series.
The goal is to redefine how AI agents interact with APIs and other tools, making advanced automation tasks more accessible to organizations across industries.
Solving the challenges of multi-step AI agents
Function calling, the backbone of most AI agent workflows, enables models to interact with external systems to perform tasks such as fetching real-time data or executing actions.
However, these interactions often falter when faced with complex API schemas or unpredictable responses, leading to inefficiencies and errors.
xpander.ai’s Agent Graph System introduces a...
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