Grab your coffee. Here are this week’s highlights.

📅 Today’s Picks

MLflow: Track Every LLM API Call with 1 Line of Code

Problem

Most teams building LLM apps don’t set up tracking because they see API calls as simple request-response operations.

But every API call costs money, and without token-level visibility, you can’t tell where your budget is going until it’s already spent.

Solution

MLflow‘s autolog traces every OpenAI API call with just one line of code, so you always know what was sent, what came back, and how many tokens it used.

Key capabilities:

• Track token usage per call to identify which requests consume the most
• View full prompt and response content for every call
• Measure latency per call to find which requests are slowing down your app
• Works with OpenAI, Anthropic, LangChain, LlamaIndex, and DSPy

Rembg: Remove Image Backgrounds in 2 Lines of Python

Problem

Removing backgrounds from images typically requires Photoshop, online tools, or AI assistants like ChatGPT.

But these options come with subscription costs, upload limits, or privacy concerns with your images on external servers.

Solution

Rembg uses AI models to remove backgrounds locally with just 2 lines of Python.

It’s also open source and compatible with common Python imaging libraries.

☕️ Weekly Finds

awesome-claude-skills [AI Tools] – Curated list of Claude Skills, resources, and tools for customizing Claude AI workflows with community-contributed templates and integrations

zvec [Vector Database] – In-process vector database built on Alibaba’s Proxima engine that searches billions of vectors in milliseconds with zero server setup

langflow [AI Agents] – Visual platform for building and deploying AI-powered agents and workflows with drag-and-drop interface, multi-agent orchestration, and MCP server support

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