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Steve Androulakis
2025-01-09 15:42:36 -08:00
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# AI Agent execution using Temporal # AI Agent execution using Temporal
Work in progress. This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow. The goal is to collect information towards a goal. There's a simple DSL input for collecting information (currently set up to use mock functions to search for events, book flights around those events then create an invoice for those flights). The AI will respond with clarifications and ask for any missing information to that goal. It uses ChatGPT 4o but can be made to use a local LLM via [Ollama](https://ollama.com) (see the deprecated section below).
This demo shows a multi-turn conversation with an AI agent running inside a Temporal workflow. The goal is to collect information towards a goal. There's a simple DSL input for collecting information (currently set up to use mock functions to search for events, book flights around those events then create an invoice for those flights). The AI will respond with clarifications and ask for any missing information to that goal. It uses a local LLM via Ollama. [Watch the demo (5 minute YouTube video)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
[![Watch the demo](./agent-youtube-screenshot.jpeg)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
## Setup ## Setup
* See `.env_example` for the required environment variables and copy to `.env` in the root directory. * See `.env_example` for the required environment variables and copy to `.env` in the root directory.