experiential: Instructions file for Codex

AGENTS.md

experiential AGENTS.md is an instructions file for Codex, OpenCode from experientiallabs/experiential. It costs 7,424 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for Experiential, a Python project that records task evidence, builds model routers, runs them locally, and performs limited training from saved datasets. They define its toolchain, checks, file-size limits, and import rules.

In plain words
What is it for?
Use it when changing Experiential code, configuration, or documentation, especially before running its formatting, linting, type-checking, and test commands.
Why use it?
They make required quality checks and architectural boundaries clear, reducing the risk of invalid dependencies, oversized files, or unverified changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions AGENTS.md; mentions Codex.

This is experientiallabs/experiential's own configuration. It tells Codex and OpenCode how to work on experiential 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 experiential configures →

About the project

Experiential is an open-source model gateway and router, meaning a service that gives agents one API for hosted, user-provided, local, and custom language models. It is for teams that need to choose models, control access and spending, and route production requests according to quality, speed, or cost. The catalogue entries provide agent skills and instructions for operating or configuring the gateway.

experientiallabs/experiential · 13,670 stars · on GitHub · experientiallabs.ai

Reuse

Borrowing it

Nothing to install: this file belongs to experientiallabs/experiential. 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/experientiallabs/experiential/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/experientiallabs/experiential

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for experiential AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/experientiallabs/experiential/agents-md/github.svg)](https://agentmods.dev/instructions/experientiallabs/experiential/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/experientiallabs/experiential/agents-md"><img src="https://agentmods.dev/badge/instructions/experientiallabs/experiential/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.

agentmods 80×15 button for experiential AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/experientiallabs/experiential/agents-md"><img src="https://agentmods.dev/badge/instructions/experientiallabs/experiential/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 7,424 This file is loaded in full into every session.
When invoked 7,424 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 $0.07424 $0.07424
Opus 5.5 $0.02970 $0.02970
Sonnet 5.5 $0.01485 $0.01485
Haiku 4.5 $0.00742 $0.00742

Measured yesterday against content hash 9e84e20623ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

experiential 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 yesterday.

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 · 445 lines

How it starts

The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent guide — experiential

Experiential builds immutable task evidence from agent traces, composes and fits frozen model routers, runs those routers on loopback, and executes bounded SFT from persisted datasets. All importable code lives under exp/; benchmark data arrives as a dependency (see rule 6).

Product and repository boundaries

Make open-source Experiential excellent for individual users. Keep enterprise operations, organization management, billing, and deployment orchestration in other repos. Enterprise builders can build that layer themselves, but this boundary must never compromise our gateway's performance, security, or maintainability.

Public code, documentation, commit messages, PR descriptions, and comments must describe the standalone open-source behavior. Keep private repository links, internal deployment details, customer information, and private operational or experiment evidence in private repos or local records. Limit disclosure cleanup to sensitive cases; preserve legitimate public interfaces and ordinary technical terminology. Keep shared interfaces small, performant, and reliable.

Toolchain

Managed with uv; lint/format with ruff; type-check with ty.

uv sync --extra dev
uv run ruff check .
uv run ruff format --check .
uv run ty check
uv run pytest -q

Repository checks

  • Every new or rewritten hand-authored source, configuration, and documentation file with a covered suffix stays below 1,000 physical lines. The executable limit is 999 lines and counts comments and blank lines. Test modules named *_test.py are exempt so cohesive tests are not split solely to satisfy a line count. Generated lock files are excluded. Generated code belongs in an explicitly named generated/ directory and is never edited by hand.
  • Full-repository Ruff check, Ruff format check, and ty check are required on every change. No pre-existing lint or type failures are grandfathered.
  • Production imports follow the approved dependency direction: common may not import runtime, simulation, optimize, or cli; runtime may not import simulation, optimize, or cli; simulation may not import optimize or cli; optimize may not import cli. Optimize owns application orchestration and may depend inward on common, runtime, and simulation. The AST gate rejects every current forbidden edge directly and proves that the package graph is acyclic.
  • The root CLI command set is exact: build, capture, config, eval, login, optimize, and run. An invocation without a subcommand opens the default gateway home screen. exp/cli/app_test.py and the release tests enforce the current command and distribution shape.

Read the full file on GitHub · 445 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. yesterday Changed · +16 lines · +303 tokens per session 9e84e20623ac
  2. 3d ago Changed · +39 lines · +823 tokens per session 4e2e4de0bb43
  3. 22d ago Changed · +1 lines · +22 tokens per session 34cb7e683d95
  4. 1mo ago Changed · +6 lines · +102 tokens per session b2d305ed22dd
  5. 1mo ago Changed · +3 lines · +69 tokens per session 12ab8fed5f55
  6. 1mo ago Changed · +12 lines · +174 tokens per session 516764219385
  7. 1mo ago Changed · +4 lines · +73 tokens per session 9dc18a52c253
  8. 1mo ago Changed · +9 lines · +192 tokens per session f83234e4077b
  9. 2mo ago First seen · 355 lines · 5,666 tokens per session scan A 1527a15aa911

Subscribe to this mod's changes

experiential AGENTS.md is an instructions file published in the GitHub repository experientiallabs/experiential (13,670 stars, last pushed today), licensed Apache-2.0. It adds 7,424 tokens to every session, about $0.0297 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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