Inferock Bench vs BDFL - Benevolent Delegator for LLMs

Inferock Bench is an open-source developer tool designed to bring transparency and independent auditing to large language model (LLM) API consumption. Operating as a local proxy, it sits directly between your application code and your LLM service providers to monitor and log backend activity.

By proxying calls formatted for major providers—including OpenAI, Anthropic, Gemini, and OpenRouter—Inferock Bench captures key metrics on a per-call basis. It records token usage, tracks request failures, and monitors retries. Using this telemetry, it generates independent receipts that show what was billed compared to actual consumption, allowing developers to detect discrepancies and see exact overpayment figures.

BDFL (Benevolent Delegator for LLMs) is an open-source terminal supervisor designed to orchestrate complex coding sessions using AI agents like Codex, Claude Code, and Ollama. Instead of relying on a single AI window, BDFL separates the workflow into specialized roles. Users interact with a 'planning agent' to create versioned, deliberate plans. Once the human user approves the plan—or specific sections of it—BDFL automatically delegates the tasks to isolated 'worker agents' that execute the code in parallel. Beyond just task delegation, the platform handles the heavy lifting of scheduling, running checks, verifying code, and managing integration. Every worker operates in an isolated environment, ensuring that code changes are properly sandboxed and reviewed before being merged. Because it operates entirely locally without any telemetry or centralized tracking, BDFL offers developers a secure, deterministic, and highly observable way to scale their AI-assisted software development.