Topic
Django LLM Integration
12 posts on django llm integration — part of api integration on the n4n AI blog.
Streaming LLM responses in Django with StreamingHttpResponse
Learn how to implement django streaminghttpresponse llm integration step by step, from view setup to deployment and verification, with runnable code.
Storing LLM conversation history in Django models
Practical guide to storing django models llm conversation history in PostgreSQL: schema, token accounting, streaming safety, and query optimization for production.
How to call OpenAI-compatible models from Django views
Guide to calling OpenAI-compatible models from Django views: set up client, write views, stream, handle errors, verify with curl. Runnable Python code included.
How to add rate limiting to a Django LLM API
Practical guide to building a django rate limiting llm api with DRF and Redis: token-bucket throttles, per-user quotas, and verification steps.
Handling LLM API timeouts and retries in Django
Practical guide to implementing django llm api timeouts retries in production: request patterns, backoff, circuit breakers, and common pitfalls.
Django vs FastAPI for LLM-backed applications
A practitioner's head-to-head comparison of Django and FastAPI for building LLM-backed apps, covering latency, streaming, ergonomics, and cost.
Django Channels for real-time LLM chat over WebSockets
Build a real-time LLM chat with Django Channels and WebSockets. Step-by-step tutorial covering async consumers, streaming, and frontend integration.
Django Celery tasks for async LLM API calls
Step-by-step guide to building Django Celery tasks for async LLM API calls: scaffold, configure, call models, retry, and verify without blocking web workers.
Django admin for managing LLM prompts and API keys
Learn how to build a secure Django admin interface for managing LLM prompts and API keys, with models, encryption, and safe integration patterns.
Building a Django chatbot with GPT-4o and Claude
Hands-on Django tutorial to build a chatbot with GPT-4o and Claude using a unified provider abstraction, conversation models, and runnable view code.
Django REST Framework: building an LLM-powered API endpoint
Step-by-step guide to building a django rest framework llm api endpoint with streaming, fallback, and OpenAI-compatible routing for production use.
Adding an LLM chat feature to a Django app
A step-by-step tutorial for wiring a streaming LLM chat feature into a Django app, from the model and view through htmx streaming and error handling.
More topics in api integration
- Function Calling Fundamentals27
- Structured Outputs & JSON Mode19
- cURL LLM API Cookbook15
- Integrating GPT-5, Claude Opus 4.8, Gemini 3, Llama 4 & More via One API15
- Next.js AI Chat Integration (App Router + Vercel AI SDK)15
- FastAPI LLM Backend Integration14
- Go net/http LLM API Client14
- LangChain + OpenAI-Compatible Gateway Integration14
- Node.js OpenAI-Compatible SDK Integration14
- Python + OpenAI-Compatible SDK Integration14
- Rate Limits, Retries & Backoff Strategies14
- React Streaming Chat UI Patterns14