SIE, or Superlinked Inference Engine, is a self-hosted inference server that runs the language, embedding, retrieval, and other models used by AI agents through one API. It is for teams deploying agent workloads in their own cloud and managing many models in a shared production cluster.
Borrowing it
Nothing to install: this file belongs to superlinked/sie. 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/superlinked/sie/main/AGENTS.mdgit clone --depth 1 https://github.com/superlinked/sieWrote 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/superlinked/sie/agents-md)<a href="https://agentmods.dev/instructions/superlinked/sie/agents-md"><img src="https://agentmods.dev/badge/instructions/superlinked/sie/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/superlinked/sie/agents-md"><img src="https://agentmods.dev/badge/instructions/superlinked/sie/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 | $0.00817 | $0.00817 |
| Opus 5.5 | $0.00327 | $0.00327 |
| Sonnet 5.5 | $0.00163 | $0.00163 |
| Haiku 4.5 | $0.00082 | $0.00082 |
Grade A, and why
sie AGENTS.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 16d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Public SIE contributor guide
Scope
This repository is the source of truth for the open-source SIE server, SDKs, gateway, sidecar, configuration service, MCP service, Helm chart, and public release automation. Keep changes self-contained: a clean clone must build and test without access to another repository, private registry, or secret.
Commands
- Use ordinary shell tools for read-only inspection.
- Run project tasks with
mise run <task>and pass task arguments after--. - Run version-managed executables that are not tasks with
mise exec --. - Bootstrap a clean checkout with
./tools/init.sh. - Run
mise tasksbefore assuming a task exists.
Every pull request runs the public lint, typecheck, unit, integration, and
package/container checks; these are not selected by changed paths. Benchmark
and quality-evaluation jobs are not part of this CI. The separate Real models
workflow serves pinned public checkpoints on CPU nightly, on manual dispatch,
and for pull requests that change model-serving, SDK, or integration paths. It
is advisory and not part of CI / Required.
The main tasks are mise run lint, mise run typecheck, mise run test,
mise run test-integrations, mise run ts -- build, mise run ts -- lint,
mise run rust-check, mise run rust-test, and mise run helm -- lint.
Build the TypeScript workspace before checking dependent packages in isolation.
The standalone Candle worker uses
mise exec -- cargo <command> --manifest-path packages/sie_server_rust/Cargo.toml --locked.
Development boundaries
- Keep the root Python and pnpm locks authoritative; standalone Rust crates keep their checked-in locks.
- Use
sie_sdk.SIEClientfor SIE API examples. Use currentgatewayterminology; legacy wire names remain only where compatibility requires it. - Keep
__init__.pyfiles empty and imports at module scope except for optional dependencies. - Do not commit secrets, credentials, generated Helm dependencies, staged chart model/bundle files, build output, or package archives.
- Trust-boundary changes to ingress, authentication, identity handling, billing, or wire protocols require an adversarial security review.
- Use Conventional Commits.
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.
- 16d ago Changed · +2 lines · +29 tokens per session f7bbd90b7c26
- 17d ago Changed · +2 lines · +16 tokens per session 61f81aef553e
- 1mo ago Changed · +9 lines · +126 tokens per session 494818de6dbc
- 1mo ago First seen · 61 lines · 646 tokens per session scan A 206854f7b5ac
sie AGENTS.md is an instructions file published in the GitHub repository superlinked/sie (3,458 stars, last pushed today), licensed Apache-2.0. It adds 817 tokens to every session, about $0.0033 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 2026-09-05.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.