# Multi-turn chat with Ollama Entity Workflow

Multi-Turn Chat using an Entity Workflow. The workflow runs forever unless explicitly ended. The workflow continues as new after a configurable number of chat turns to keep the prompt size small and the Temporal event history small. Each continued-as-new workflow receives a summary of the conversation history so far for context.

## Setup
* Install [Ollama](https://ollama.com) and the Mistral model (`ollama run mistral`).
* Install and run Temporal. Follow the instructions in the [Temporal documentation](https://learn.temporal.io/getting_started/python/dev_environment/#set-up-a-local-temporal-service-for-development-with-temporal-cli) to install and run the Temporal server.
* Install the dependencies: `poetry install`

## Running the example

1. Run the worker: `poetry run python run_worker.py`
2. In another terminal run the client with a prompt.

    Example: `poetry run python send_message.py 'What animals are marsupials?'`

3. View the worker's output for the response.
4. Give followup prompts by signaling the workflow.

    Example: `poetry run python send_message.py 'Do they lay eggs?'`
5. Get the conversation history summary by querying the workflow.
    
    Example: `poetry run python get_history.py`
6. To end the chat session, run `poetry run python end_chat.py`