Queuelo: A Lightweight Approval API for LLM Agents

Queuelo is a lightweight approval API designed for LLM agents running in production. It provides a simple HTTP-based layer where agents can pause before executing potentially irreversible actions, requiring human approval.
How It Works
The system operates through a straightforward HTTP flow. Your LLM agent makes a POST request to Queuelo's API with action details. You receive a notification, review the request, and either approve or reject it. The agent then gets the decision back via webhook.
Technical Implementation
The API requires no specific frameworks or SDKs—just HTTP. Here's the example curl command from the source:
curl -X POST https://queuelo.com/api/actions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"action_type": "send_email", "summary": "Follow up with 500 leads", "risk_level": "high"}'The request payload includes three fields: action_type (e.g., "send_email"), summary (a brief description), and risk_level (e.g., "high").
Compatibility
Queuelo works with any agent framework that can make HTTP requests, including LangChain, CrewAI, AutoGen, or raw API calls. The creator specifically mentions it's designed for "any agent framework" and "if it can make an HTTP request it can use Queuelo."
Availability
A free tier is available. The creator is actively seeking feedback on what action types people are using in production environments.
📖 Read the full source: r/LocalLLaMA
👀 See Also

cc-session-utils: TUI Dashboard for Managing Claude Code Sessions and Costs
A developer built cc-session-utils, a terminal UI tool for managing Claude Code session files, tracking costs by model, cleaning orphaned sessions, and migrating data between projects. It requires Python 3.11+ and is built with Textual.

Spec-Driven Development Workflow for Claude Code: Decomposition, Context Clearing, and Cost Control
A spec-driven development approach for Claude Code that uses two-dimensional decomposition, context clearing between steps, and specs written to disk to improve agent performance and reduce costs.

Cowork AI Agent Causes Keyboard Input Issues on Windows Laptops
A user reported that Cowork AI agent caused persistent keyboard input problems on a Dell Latitude 9430, where only the first few keystrokes would register. The solution involved a specific embedded controller reset procedure for Latitude models.

HyperResearch: Open-source Claude Code skill harness turns it into a deep research agent
HyperResearch converts Claude Code into a 16-step deep research pipeline with persistent knowledge store, fact-checking, and authenticated web sessions. Open-source, single-command install, outperforms OpenAI and Google on DeepResearch Bench.