... (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

Source Code and Repositories

This chapter draws from the following open-source projects by DanielKliewer:

• **sovereign**: https://github.com/kliewerdaniel/sovereign
• **PersonaGen**: https://github.com/kliewerdaniel/PersonaGen
• **sovereignSpec**: https://github.com/kliewerdaniel/sovereignSpec
• **RedToBlog02**: https://github.com/kliewerdaniel/RedToBlog02
• **tech-company-orchestrator**: https://github.com/kliewerdaniel/tech-company-orchestrator

For more projects, visit https://github.com/kliewerdaniel

---

I'll craft a comprehensive chapter on building AI-powered frontends with Next.js, incorporating streaming responses, responsive interfaces, and practical code examples. I'll weave in the glossary terms where relevant (e.g., REPL Environment for testing prompts, CLASSIFIER_SYSTEM_PROMPT for AI classification tasks) and ensure the tone is instructional for developers. The structure will follow the objectives: overview, building the UI, streaming responses, responsive design, and concluding thoughts. I'll aim for ~2500 words, using markdown headings as required.