OpenAI Python SDK 3.17.0: a Breaking Change and Six New Features
OpenAI's Python SDK 3.17.0 ships a breaking change to local shell tool output plus six new features. Here's what Python teams need to know before upgrading.
OpenAI's Python SDK 3.17.0 ships a breaking change to local shell tool output plus six new features. Here's what Python teams need to know before upgrading.
How Scout runs a pen full of Claude agents behind one foreman, inside a sandbox with zero blast radius, credentials and all.
The model isn't the only lever, and it's rarely the one you control. What you feed it is. A look at how Claude actually uses prompts, skills, and AGENTS.md, how to write each one well, and how we wire all three into Corral.
AI applications need two layers of monitoring: LLM observability for output quality and token costs, and traditional APM for the application code underneath. A practical guide to what tools cover which layer.
Your AI coding agent can read your codebase but not your production data. MCP changes that. Here is how to connect monitoring to your development workflow.
AI makes building faster. It also makes production problems faster. If you ship without monitoring, you are flying blind at 10x speed.
A workflow that connects Scout's MCP server to an AI assistant to automatically triage production errors overnight and open draft PRs with proposed fixes — so your team starts the day reviewing solutions, not stack traces.
We've shipped API updates, two MCP server options, and a new CLI — all designed to get Scout's performance data to the AI tools you already use.
Scout Senior Developer Quinn walks us through adding FastMCP instrumentation to our Python agent. The Scout MCP server enables Scout users to query their Scout agent about application performance so that the agent can make decisions and fix issues based on that data.