AI Developer Lab collection

AI Developer Lab

Security, cost, prompt, RAG, MCP, and agent tools from the Aixtral Lab inventory, packaged as repeatable Toolars workspaces for product builders.

官方4 个工具3 个工作流AI SecurityMCPLLM Cost

推荐路径

从这个合集里最稳妥的路线开始。

浏览完整 Lab

1Repair structured outputStart with JSON Repair and schema-safe payloads.本地

2Scan prompt riskRun prompt injection checks before agent release.安全

3Budget and launch MCP toolsEstimate LLM spend, then package MCP definitions and tests.发布

此合集中的工具

组成此合集的目录条目和工作区。

打开第一个工具

JSON RepairFix malformed LLM JSON output, trailing commas, quotes, and arrays.本地 Prompt Injection ScannerScan prompts for jailbreaks, instruction overrides, and hidden payloads.需 AI 同意 LLM Cost CalculatorEstimate token cost across providers, models, context windows, and traffic.本地 MCP Server BuilderBuild manifests, tool schemas, prompts, resources, and launch docs.本地

操作手册

Repair and validate LLM JSONNormalize model output before downstream tools consume it.Stable payloads

Harden prompt surfacesReview system prompts, tool instructions, and retrieved text before release.Guardrail checklist

Ship an MCP toolBuild tool schemas, test payloads, and launch documentation.Agent-ready launch