... (previous validation) [chapter] deterministic

user_msg = serializer.save(session=session) generate_response.delay(session_id, user_msg.content) return Response({'status': 'processing'}, status=status.HTTP_202_ACCEPTED)

`

Configure Celery in settings.py:

```python CELERY_BROKER_URL = "redis://localhost:6379/0" CELERY_RESULT_BACKEND = "redis://localhost:6379/0"

`

Prompt Design for Ollama Prompt design is a critical aspect of developing effective interactions with AI systems. Craft instructions that guide the model toward desired outputs.

```python def build_prompt(user_input: str) -> str: return f"""You are a helpful . Answer the following question concisely: {user_input} """

`

Use the prompt in the service:

```python def ollama_generate(prompt: str) -> str: data = { "model": "llama3", "prompt": prompt, "stream": False, }