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/.github/copilot-instructions.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/copilot-instructions)<a href="https://agentmods.dev/instructions/azure-samples/azure-ai-travel-agents/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/azure-samples/azure-ai-travel-agents/copilot-instructions/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/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/azure-samples/azure-ai-travel-agents/copilot-instructions.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 | $0.01204 | $0.01204 |
| Opus 5 | $0.00602 | $0.00602 |
| Sonnet 5 | $0.00241 | $0.00241 |
| Haiku 4.5 | $0.00120 | $0.00120 |
Grade A, and why
azure-ai-travel-agents copilot-instructions.md scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions for azure-ai-travel-agents
Big Picture Architecture
- The platform is a modular AI travel agent system, composed of multiple microservices ("tools") for itinerary planning, destination recommendations, customer queries, and more.
- The main API gateway is in
packages/api/, with three orchestration options:- LangChain.js (current default) at
packages/api/src/orchestrator/langchain/ - LlamaIndex.TS (available alternative) at
packages/api/src/orchestrator/llamaindex/ - Microsoft Agent Framework (Python alternative) at
packages/api-python/
- LangChain.js (current default) at
- Each tool is isolated in its own directory under
packages/mcp-servers/and communicates via HTTP APIs or Model Context Protocol (MCP). - The frontend UI is in
packages/ui/(Angular + Tailwind CSS), talking to the API gateway. - Infrastructure is managed with Bicep templates in
infra/and setup scripts ininfra/hooks/.
Developer Workflows
- Build & Run All Services:
Run./run.shfrom the repo root to build and start all services locally via Docker Compose. - Service-Specific Development:
Each tool underpackages/mcp-servers/can be built and run independently using its language's standard commands (e.g.,npm,mvnw,python). - UI Development:
Runnpm startinpackages/ui/for local frontend development. - Infrastructure Deployment:
Use Bicep files ininfra/and scripts ininfra/hooks/for Azure deployments.
Project-Specific Conventions
- Service Boundaries:
Each tool is strictly separated; cross-service communication uses HTTP APIs or MCP protocol, not direct imports. - Orchestration Options:
Three orchestrators available (all work with the same MCP tools):- LangChain.js (TypeScript) - Current default, uses LangGraph supervisor pattern with
@langchain/mcp-adapters - LlamaIndex.TS (TypeScript) - Available alternative, good for RAG use cases
- Microsoft Agent Framework (Python) - Alternative for Python-native teams
- LangChain.js (TypeScript) - Current default, uses LangGraph supervisor pattern with
- Configuration:
Shared config files are in the repo root (azure.yaml,repomix.config.json). Service-specific configs are in their respective directories. - Testing:
Tests are colocated with source files or follow language-specific conventions (e.g.,.spec.tsfor TypeScript,test/for Python). - Documentation:
Key architectural docs are indocs/(seedocs/technical-architecture.md,docs/deployment-architecture.md,docs/orchestration.md).
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.
- 10d ago First seen · 81 lines · 1,204 tokens per session scan A 358a5c7e3adc
azure-ai-travel-agents copilot-instructions.md is an instructions file published in the GitHub repository Azure-Samples/azure-ai-travel-agents (483 stars, last pushed today), licensed MIT. It adds 1,204 tokens to every session, about $0.0060 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.