AI & LLM

6 hours ago 4

AI & LLM

Calling LLMs from Python: The Request Loop, Tokens, Cost, and Retries

Call language models from Python with the Claude SDK: the messages loop, tokens and cost, and a client with timeouts and retries you can inject and test.

6 hours ago 3

AI & LLM

Structured Outputs and Function Calling: Getting Reliable JSON from LLMs

Get dependable JSON from language models with structured outputs and function calling, then validate with Pydantic so your code works with typed objects.

6 hours ago 3

AI & LLM

Building a RAG Service with FastAPI: Chunking, Embeddings, and Vector Search

Build a RAG service end to end: chunk documents, embed and search by similarity, and answer grounded in retrieved context from a FastAPI endpoint.

6 hours ago 4

AI & LLM

Streaming LLM Responses to the Browser with FastAPI and SSE

Stream a real model response to the browser: consume the model stream in Python, forward it through a FastAPI SSE endpoint, and render it live.

6 hours ago 4

AI & LLM

Building an AI Agent API: Tool Calls, Memory, and Guardrails

Build a small AI agent API: the tool calling loop, conversation memory, and the guardrails that keep an action taking agent safe and bounded.