Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/arize-ai/openinference/agents-mdgit clone --depth 1 https://github.com/Arize-ai/openinferenceWhat 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 | $0.01064 | $0.01064 |
| Opus 5 | $0.00532 | $0.00532 |
| Sonnet 5 | $0.00213 | $0.00213 |
| Haiku 4.5 | $0.00106 | $0.00106 |
Grade A, and why
openinference 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 2d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code when working with this repository.
Repository Overview
OpenInference is a multi-language monorepo providing OpenTelemetry-based instrumentation for AI/ML applications:
- Python: Instrumentation for OpenAI, LangChain, LlamaIndex, DSPy, etc.
- JavaScript/TypeScript: Node.js instrumentations with pnpm workspaces
- Java: Instrumentation for LangChain4j and Spring AI
- Specification: OpenInference semantic conventions in
spec/
Repository Structure
.
├── python/ # Python packages and instrumentations
│ ├── instrumentation/ # Individual instrumentor packages
│ ├── openinference-instrumentation/
│ └── openinference-semantic-conventions/
├── js/ # JavaScript/TypeScript workspace
│ ├── packages/ # pnpm workspace packages
│ └── examples/
├── java/ # Java packages
│ ├── instrumentation/
│ ├── openinference-instrumentation/
│ └── openinference-semantic-conventions/
├── spec/ # OpenInference specification
└── scripts/ # Repository automation scripts
Essential Commands by Language
Python
Package Management:
# Install development dependencies
pip install -r python/dev-requirements.txt
# Install tox-uv for testing automation
pip install tox-uv==1.11.2
# Compose namespace package
tox run -e add_symlinks
# Install in editable mode
pip install -e python/openinference-instrumentation
Testing and Quality:
# Run all CI checks in parallel
tox run-parallel
# Run tests for specific package (e.g., openai)
tox run -e test-openai
# Run linting and formatting
tox run -e ruff-openai
# Run type checking
tox run -e mypy-openai
# Run all checks for a package
tox run -e ruff-mypy-test-openai
Key Tools:
- tox for automation
- ruff for formatting and linting
- mypy for type checking
JavaScript/TypeScript
See js/CLAUDE.md for detailed JavaScript-specific guidance.
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.
- 2d ago First seen · 177 lines · 1,064 tokens per session scan A 1d7143ee3f8c
openinference AGENTS.md is an instructions file published in the GitHub repository Arize-ai/openinference (1,186 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,064 tokens to every session, about $0.0053 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
openllmetry CLAUDE.md
Instructions for traceloop/openllmetry, covering openllmetry repository guide, repository structure, nx workspace commands, run tests across all packages and run linting across all packages.
synalinks AGENTS.md
Instructions for SynaLinks/synalinks, covering agents.md, project overview, development commands, install dependencies and run tests with coverage.
gateway CLAUDE.md
Instructions for Portkey-AI/gateway, covering claude.md, project overview, development commands, core development and testing.
nexus CLAUDE.md
Claude Code instructions for Nexus-Router/nexus, covering llm code editing guidelines for nexus, commit messages, domain context, key technologies and rust coding guidelines.
synalinks CLAUDE.md
Instructions for SynaLinks/synalinks, covering claude.md, project overview, development commands, install dependencies and run tests with coverage.
nexus AGENTS.md
AGENTS.md instructions for Nexus-Router/nexus, a project described as: Govern & Secure your AI.