hugegraph-ai: Instructions file for Codex

AGENTS.md

hugegraph-ai AGENTS.md is an instructions file for Codex, OpenCode from apache/hugegraph-ai. It costs 787 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for HugeGraph AI, a Python workspace containing modules that connect AI tools with the HugeGraph graph database. They describe the modules, code-search guidance, build commands, and testing expectations.

In plain words
What is it for?
Use them when working on HugeGraph AI modules, especially the frequently changed hugegraph-llm module, shared dependencies, builds, or tests.
Why use it?
They help an agent understand which module owns a change and what tests are expected. This reduces accidental edits across unrelated parts of the workspace.

Instructions file for CodexOpenCode ✓ vendor

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is apache/hugegraph-ai's own configuration. It tells Codex and OpenCode how to work on hugegraph-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hugegraph-ai configures →

About the project

hugegraph-ai connects the HugeGraph graph platform with artificial intelligence tools, including large language models, graph retrieval, knowledge-graph construction, and graph machine learning. It is intended for developers building applications that query, analyze, or reason over graph data through Python interfaces and related modules.

apache/hugegraph-ai · 145 stars · on GitHub · hugegraph.apache.org

Reuse

Borrowing it

Nothing to install: this file belongs to apache/hugegraph-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/apache/hugegraph-ai/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/apache/hugegraph-ai

Made for: Codex, OpenCode.

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README.md
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Per session 787 This file is loaded in full into every session.
When invoked 787 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00787 $0.00787
Opus 5.5 $0.00315 $0.00315
Sonnet 5.5 $0.00157 $0.00157
Haiku 4.5 $0.00079 $0.00079

Measured 8d ago against content hash d64b35291a26, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hugegraph-ai 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 8d 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.

AGENTS.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI agents working in this repository. Keep README content in README files; keep this file focused on decisions agents commonly get wrong.

Stack & Modules

  • This is a Python uv workspace. Prefer root-level workspace commands unless a module-specific file says otherwise.
  • hugegraph-llm-sdk/ owns the standalone graph schema/extraction runtime. Keep its base installation independent of application/provider dependencies; verify LLM callers after SDK changes.
  • hugegraph-llm/ is the primary and most frequently changed module. When editing or reviewing it, read hugegraph-llm/AGENTS.md first.
  • hugegraph-python-client/ is a supporting dependency for HugeGraph access. Change it only when the client contract itself must change, and verify hugegraph-llm callers when you do.
  • Treat hugegraph-ml/ and vermeer-python-client/ as lower-frequency modules. Do not expand changes into them without a direct reason.

Testing Expectations

  • Any code change must include sufficient and effective test coverage for the changed behavior, regression risk, or failure path.
  • Do not add tests that only improve coverage numbers while mocking away the behavior being changed.
  • If a change cannot reasonably include automated tests, state why and provide the manual verification performed.
  • Cross-module or shared dependency changes must test the affected downstream module, not only the package where the edit was made.

Code Search Anchors

  • hugegraph-llm/src/hugegraph_llm/ - main LLM, RAG, KG, prompt, API, and vector-index code.
  • hugegraph-python-client/src/pyhugegraph/ - Python client used by LLM code to talk to HugeGraph.
  • pyproject.toml and module pyproject.toml files - workspace membership, dependency groups, lint settings, Python versions.
  • rules/README.md - staged AI-assisted workflow for multi-file features, API contract changes, or cross-module design changes.

Build & Test

uv sync --all-extras
uv run --extra dev ruff format --check .
uv run --extra dev ruff check .
uv run --extra dev ty check hugegraph-llm-sdk/src/hugegraph_llm_sdk hugegraph-llm/src/hugegraph_llm hugegraph-python-client/src/pyhugegraph

Read the full file on GitHub · 54 lines

Changes

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.

  1. 8d ago Changed · +5 lines · +139 tokens per session d64b35291a26
  2. 2mo ago First seen · 49 lines · 648 tokens per session scan A b449241bef2b

Subscribe to this mod's changes

hugegraph-ai AGENTS.md is an instructions file published in the GitHub repository apache/hugegraph-ai (145 stars, last pushed yesterday), licensed Apache-2.0. It adds 787 tokens to every session, about $0.0031 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.

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