Rewriting tool descriptions from soft suggestions to hard rules (whitelist + consequence explanation) eliminated the LLM's incorrect tool selection; adding skip_signal=True fixed vector store double-indexing.
A lightweight open-source tool from Microsoft that converts PDF, Office, images, audio, and more into Markdown — purpose-built for LLM pipelines.
notebooklm-py reverse-engineers Google's batchexecute RPC protocol, letting you programmatically control NotebookLM via Python / CLI / AI Agent — including audio, video, slides, quiz generation and more.
Celery is Python's go-to distributed task queue, using Redis or RabbitMQ as a broker to offload long-running work to the background. DaoDao's AI service uses it to handle async tasks like LLM feedback generation.
FastAPI is a modern Python web framework built on type hints — it auto-generates OpenAPI docs, supports native async, and delivers performance close to Node.js. It's the top choice for AI/ML services and the most worthwhile framework to learn in the Python backend ecosystem.
Wrap a local Python script into an MCP Server using FastMCP so Claude Code can call it directly — no more manually running pipelines.
The MCP tool was returning a description field that caused 1,033 job listings to exceed the token limit. The fix: exclude description by default and add pagination.