./c² cagataycali

🔌 OpenAPI First-Class Services Matrix

Services with public OpenAPI/Swagger specs that work with DevDuck's openapi tool out of the box. Auth types: 🔑 API Key | 🔐 OAuth2 | 🎫 Bearer Token | 👤 Basic Auth | 🔓 No Auth

✅ Tested & Verified

#	Service	Spec URL	Auth	Ops	Status
1	Petstore (demo)	`petstore3.swagger.io/api/v3/openapi.json`	🔐🔑	19	✅ Verified

@tool Decorator Optional Type Annotation Fix - Complete Analysis

Issue Summary

Bug ID: #1151
Component: @tool decorator in strands-agents package
Severity: High - Incorrect API schema generation

Problem Description

MCP Property Normalization Fix - Issue #1190

Quick Summary

Fixes MCP tool property normalization bug where anyOf JSON Schema properties incorrectly receive conflicting type: "string" defaults, breaking model type interpretation.

The Problem

# BROKEN: Always adds default type

Strands Agents Integration Patterns - Executive Summary

🎯 Key Findings

Based on analysis of 44+ repositories in the Strands Agents ecosystem, I've identified four primary integration patterns that enable enterprise-scale deployment:

1. MCP (Model Context Protocol) Integration ✅

Primary Use: Local tool integration and service connectivity
Transports: stdio (local), HTTP/SSE (remote), streamable HTTP (high-throughput)
Production Ready: Full enterprise configuration with retry logic, monitoring, security

Strands Agents Integration Patterns & Protocols

Phase 3: Ecosystem Integration Analysis Complete implementation guide for integrating Strands Agents with existing systems and workflows.

Flipper Zero JavaScript Cheat Sheet

General Structure

Path and File Information:

print("Script path:", __filepath);
print("Script directory:", __dirpath);

GPIO Usage

Install

[wget ... or download](https://gist.github.com/acaa476865821b02813b8a8e88e59c13.git)
chmod +x run-local-multimodal-llm-openai-compatible.sh
./run-local-multimodal-llm-openai-compatible.sh

	"""
	The most atomic way to train and inference a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp