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Steve Androulakis
2025-01-26 21:23:15 -08:00
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# Temporal AI Agent
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, search for flights around those events, then create a test Stripe invoice for those flights). The AI will respond with clarifications and ask for any missing information to that goal. You can configure it to use [ChatGPT 4o](https://openai.com/index/hello-gpt-4o/), [Anthropic Claude](https://www.anthropic.com/claude), [Google Gemini](https://gemini.google.com) or a local LLM of your choice using [Ollama](https://ollama.com).
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, search for flights around those events, then create a test Stripe invoice for those flights). The AI will respond with clarifications and ask for any missing information to that goal. You can configure it to use [ChatGPT 4o](https://openai.com/index/hello-gpt-4o/), [Anthropic Claude](https://www.anthropic.com/claude), [Google Gemini](https://gemini.google.com), [Deepseek-V3](https://www.deepseek.com/) or a local LLM of your choice using [Ollama](https://ollama.com).
[Watch the demo (5 minute YouTube video)](https://www.youtube.com/watch?v=GEXllEH2XiQ)
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- `LLM_PROVIDER=openai` for OpenAI's GPT-4o
- `LLM_PROVIDER=google` for Google Gemini
- `LLM_PROVIDER=anthropic` for Anthropic Claude
- `LLM_PROVIDER=deepseek` for DeepSeek-V3
- `LLM_PROVIDER=ollama` for running LLMs via [Ollama](https://ollama.ai) (not recommended for this use case)
### Option 1: OpenAI
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1. Obtain an Anthropic API key and set it in the `ANTHROPIC_API_KEY` environment variable in `.env`.
2. Set `LLM_PROVIDER=anthropic` in your `.env` file.
### Option 4: Local LLM via Ollama (not recommended)
### Option 4: Deepseek-V3
To use Anthropic:
1. Obtain an Anthropic API key and set it in the `DEEPSEEK_API_KEY` environment variable in `.env`.
2. Set `LLM_PROVIDER=deepseek` in your `.env` file.
### Option 5: Local LLM via Ollama (not recommended)
To use a local LLM with Ollama: