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optillm: Instructions file for Claude Code

CLAUDE.md

optillm CLAUDE.md is an instructions file for Claude Code from algorithmicsuperintelligence/optillm. It costs 1,231 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for OptiLLM, a service that sits between applications and language models and tries different reasoning or sampling methods before returning an answer. It provides an OpenAI-compatible API, meaning programs can call it using the same general interface as OpenAI services.

In plain words
What is it for?
Use it when working on the proxy server, local model execution, inference strategies, answer checking, request routing, or the project's setup and development commands.
Why use it?
They explain the project's main parts and the available methods for improving answers to coding, logic, and maths questions. This gives the coding agent a map of where inference, routing, and optimization code belong.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is algorithmicsuperintelligence/optillm's own configuration. It tells Claude Code how to work on optillm 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 optillm configures →

not rated 4.3krepo +4 changed 4d ago A scan 1,231 tokens original Apache-2.0
View source ↗ algorithmicsuperintelligence/optillm
About the project

OptiLLM is an OpenAI API-compatible proxy that applies inference-time techniques to improve the reasoning performance of large language models without training them. It is for developers and researchers who want to route existing model API calls through optimization methods.

algorithmicsuperintelligence/optillm · 4,338 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to algorithmicsuperintelligence/optillm. 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/algorithmicsuperintelligence/optillm/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/algorithmicsuperintelligence/optillm

Made for: Claude Code.

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Per session 1,231 This file is loaded in full into every session.
When invoked 1,231 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 $0.01231 $0.01231
Opus 5.5 $0.00492 $0.00492
Sonnet 5.5 $0.00246 $0.00246
Haiku 4.5 $0.00123 $0.00123

Measured 4d ago against content hash 47f1972b9f4f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

optillm CLAUDE.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 4d 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.

CLAUDE.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 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 (claude.ai/code) when working with code in this repository.

Project Overview

OptiLLM is an OpenAI API compatible optimizing inference proxy that implements state-of-the-art techniques to improve accuracy and performance of LLMs. It focuses on reasoning improvements for coding, logical, and mathematical queries through inference-time compute optimization.

Core Architecture

Main Components

  1. Entry Points:

    • optillm.py - Main Flask server with inference routing
    • optillm/inference.py - Local inference engine with transformer models
    • Setup via pyproject.toml with console script optillm=optillm:main

  2. Optimization Techniques (optillm/):

    • Reasoning: cot_reflection.py, plansearch.py, leap.py, reread.py
    • Sampling: bon.py (Best of N), moa.py (Mixture of Agents), self_consistency.py
    • Search: mcts.py (Monte Carlo Tree Search), rstar.py (R* Algorithm)
    • Verification: pvg.py (Prover-Verifier Game), z3_solver.py
    • Advanced: cepo/ (Cerebras Planning & Optimization), rto.py (Round Trip)

  3. Decoding Techniques:

    • cot_decoding.py - Chain-of-thought without explicit prompting
    • entropy_decoding.py - Adaptive sampling based on token uncertainty
    • thinkdeeper.py - Reasoning effort scaling
    • autothink/ - Query complexity classification with steering vectors

  4. Plugin System (optillm/plugins/):

    • spl/ - System Prompt Learning (third paradigm learning)
    • deepthink/ - Gemini-like deep thinking with inference scaling
    • longcepo/ - Long-context processing with divide-and-conquer
    • mcp_plugin.py - Model Context Protocol client
    • memory_plugin.py - Short-term memory for unbounded context
    • privacy_plugin.py - PII anonymization/deanonymization
    • executecode_plugin.py - Code interpreter integration
    • json_plugin.py - Structured outputs with outlines library

Development Commands

Read the full file on GitHub · 134 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. 4d ago Changed · +4 tokens per session 47f1972b9f4f
  2. 2mo ago First seen · 134 lines · 1,227 tokens per session scan A 6efefe717d1c

Subscribe to this mod's changes

optillm CLAUDE.md is an instructions file published in the GitHub repository algorithmicsuperintelligence/optillm (4,338 stars, last pushed 4d ago), licensed Apache-2.0. It adds 1,231 tokens to every session, about $0.0049 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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