vLLM Semantic Router is a programmable routing layer that chooses or combines language models for each request in a system using multiple models and types of computing infrastructure. It helps teams route inference by signals such as user preferences, application policies, quality, cost, latency, privacy, and safety requirements. The catalogue skills and instructions support configuring and operating this model-routing system.
Borrowing it
Nothing to install: this file belongs to vllm-project/semantic-router. 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/vllm-project/semantic-router/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/vllm-project/semantic-routerWrote 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/vllm-project/semantic-router/copilot-instructions)<a href="https://agentmods.dev/instructions/vllm-project/semantic-router/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/vllm-project/semantic-router/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/vllm-project/semantic-router/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/vllm-project/semantic-router/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 | $0.00196 | $0.00196 |
| Opus 5.5 | $0.00078 | $0.00078 |
| Sonnet 5.5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
semantic-router 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 1mo 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.
What it actually says
GitHub Copilot instructions
Read AGENTS.md and the nearest local AGENTS.md for changed directories.
Use make impact CHANGED_FILES="..." for ownership and candidate checks, then
make check CHANGED_FILES="..." for the daily deterministic gate. Select
integration or E2E explicitly with make verify DOMAIN=... or
make verify PROFILE=...; use make harness-check for harness/workflow edits.
Prioritize correctness, security, public contracts, missing behavior tests, and real dependency boundaries. Numeric size metrics are advisory: recommend an extraction only when it improves ownership, coupling, or testability.
Behavior-visible routing, startup, config, Docker, CLI, API, or protocol changes need appropriate integration evidence; pure refactors do not. Keep suggestions inside the requested subsystem and never copy credentials, private infrastructure, local receipts, or AI/tool attribution into repository files.
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.
- 1mo ago Changed · -22 lines · -108 tokens per session aa744416506a
- 2mo ago First seen · 39 lines · 304 tokens per session scan A 97a3d7936fbf
semantic-router copilot-instructions.md is an instructions file published in the GitHub repository vllm-project/semantic-router (6,402 stars, last pushed yesterday), licensed Apache-2.0. It adds 196 tokens to every session, about $0.0008 per session on Opus 5.5. 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.
semantic-router copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| semantic-router copilot-instructions.mdvllm-project/semantic-router | Instructions file | 6.4k | yesterday | Apache-2.0 | A | 196 | GitHub Copilot |
| 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 | today | 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 |