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25 lines
1.3 KiB
Markdown
25 lines
1.3 KiB
Markdown
# Multi-turn chat with Ollama Entity Workflow
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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.
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## Setup
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* Install [Ollama](https://ollama.com) and the Mistral model (`ollama run mistral`).
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* 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.
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* Install the dependencies: `poetry install`
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## Running the example
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1. Run the worker: `poetry run python run_worker.py`
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2. In another terminal run the client with a prompt.
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Example: `poetry run python send_message.py 'What animals are marsupials?'`
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3. View the worker's output for the response.
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4. Give followup prompts by signaling the workflow.
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Example: `poetry run python send_message.py 'Do they lay eggs?'`
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5. Get the conversation history summary by querying the workflow.
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Example: `poetry run python get_history.py`
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6. To end the chat session, run `poetry run python end_chat.py`
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