Borrowing it
Nothing to install: this file belongs to Azure-Samples/azure-ai-travel-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Azure-Samples/azure-ai-travel-agents/main/AGENTS.mdgit clone --depth 1 https://github.com/Azure-Samples/azure-ai-travel-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/azure-samples/azure-ai-travel-agents/agents-md)<a href="https://agentmods.dev/instructions/azure-samples/azure-ai-travel-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/azure-ai-travel-agents/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/azure-samples/azure-ai-travel-agents/agents-md"><img src="https://agentmods.dev/badge/instructions/azure-samples/azure-ai-travel-agents/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.06425 | $0.06425 |
| Opus 5.5 | $0.02570 | $0.02570 |
| Sonnet 5.5 | $0.01285 | $0.01285 |
| Haiku 4.5 | $0.00643 | $0.00643 |
Grade A, and why
azure-ai-travel-agents AGENTS.md scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:5004/health # echo-ping How it starts
The opening of the file, as written. The whole thing — 724 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Azure AI Travel Agents - Developer Guide
This file provides comprehensive guidelines for OpenAI Codex and other AI coding assistants working with the Azure AI Travel Agents codebase. It documents project structure, coding conventions, testing protocols, and PR guidelines to ensure generated code integrates seamlessly with the existing architecture.
Project Structure & Architecture
High-Level Architecture
The Azure AI Travel Agents is a modular AI multi-agent system composed of multiple microservices ("tools") with three standalone orchestration implementations:
- LangChain.js (TypeScript/Node.js) - Complete service in
packages/api-langchain-js/ - LlamaIndex.TS (TypeScript/Node.js) - Complete service in
packages/api-llamaindex-ts/ - Microsoft Agent Framework (Python) - Complete service in
packages/api-maf-python/
Each orchestrator is a standalone service with its own Express/FastAPI server. All orchestrators communicate with the same MCP tool servers via Model Context Protocol (MCP).
├── .github/ # GitHub workflows, templates, and copilot instructions
├── docs/ # Architecture and API documentation
├── infra/ # Infrastructure as Code (Bicep templates)
├── packages/ # Source code
│ ├── api-langchain-js/ # LangChain.js service (TypeScript)
│ │ ├── src/
│ │ │ ├── server.ts # Express API server
│ │ │ ├── agents/ # Specialized agents
│ │ │ ├── graph/ # LangGraph workflow
│ │ │ ├── providers/ # LLM providers
│ │ │ ├── tools/ # MCP tool configurations
│ │ │ └── mcp/ # MCP client implementations
│ │ ├── Dockerfile
│ │ └── package.json
│ │
│ ├── api-llamaindex-ts/ # LlamaIndex.TS service (TypeScript)
│ │ ├── src/
│ │ │ ├── server.ts # Express API server
│ │ │ ├── providers/ # LLM providers
│ │ │ ├── tools/ # MCP tool configurations
│ │ │ └── mcp/ # MCP client implementations
│ │ ├── Dockerfile
│ │ └── package.json
│ │
│ ├── api-maf-python/ # Microsoft Agent Framework (Python)
│ │ ├── src/
│ │ │ ├── main.py # FastAPI server
│ │ │ └── orchestrator/ # MAF orchestrator
│ │ ├── Dockerfile
│ │ └── pyproject.toml
│ │
│ ├── ui-angular/ # Angular frontend application
│ │ ├── src/app/
│ │ ├── Dockerfile
│ │ └── package.json
│ │
│ └── mcp-servers/ # MCP tool servers (microservices)
│ ├── echo-ping/ # TypeScript/Node.js (testing tool)
│ ├── customer-query/ # C#/.NET (customer inquiry processing)
│ ├── destination-recommendation/ # Java (travel destination suggestions)
│ └── itinerary-planning/ # Python (detailed itinerary creation)
│
├── azure.yaml # Azure Developer CLI configuration
├── repomix.config.json # Repository documentation config
└── docker-compose.yml # Local development environment
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 724 lines · 6,425 tokens per session scan A e190855bf94d
azure-ai-travel-agents AGENTS.md is an instructions file published in the GitHub repository Azure-Samples/azure-ai-travel-agents (482 stars, last pushed 4d ago), licensed MIT. It adds 6,425 tokens to every session, about $0.0257 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
azure-ai-travel-agents AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| azure-ai-travel-agents AGENTS.mdAzure-Samples/azure-ai-travel-agents | Instructions file | 482 | 4d ago | MIT | A | 6,425 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |