AI Developer Tools

szr

szr is a Go-native CLI proxy that reduces noisy terminal output before it reaches an LLM context, saving tokens and preserving command exit codes.

What is szr?

szr is an open-source CLI proxy designed to minimize token usage when feeding terminal command outputs to large language models (LLMs). It wraps commands like git diff, test suites, and grep, compressing noisy output while preserving critical information such as error lines, diagnostics, and exit codes. It also provides deduplication, delta summaries, and full-output recoverability.

szr vs Similar AI Tools

Pricing ModelFreeCustom PricingPaidFree
Free Credits
Key Features
  • Wraps shell commands to produce compact, token-efficient output
  • Preserves critical information (errors, line numbers, exit codes)
  • Deduplication and delta summaries for re-run efficiency
  • Composable workflows with conditional branching and retry-safe execution
  • PCI-compliant payment stack with tokenized card vaulting
  • Cooperative bot-mitigation via Web Bot Auth, Skyfire KYA, and signed agent identity
  • Buy GPU hours by the week
  • Instant liquidity for buying and selling
  • Sealed-bid auction for future weeks
  • Policy-controlled routing with task and risk headers
  • Cache-aware concurrency maintaining independent affinity lanes for cheap, mid, and frontier roles
  • Spend tracking and cost analysis via ledger, CLI commands, and management APIs
Pros
  • Significantly reduces token usage for common shell commands
  • Preserves exit codes and critical diagnostic information
  • Reliable transaction clearing with PCI compliance
  • Works with bot mitigation systems (Cloudflare, Human, Fingerprint)
  • Flexible weekly rental periods
  • Instant liquidity allows selling back unused hours
  • Cost control by using cheapest appropriate models
  • Preserves prompt caches across requests
Cons
  • Only supports a limited set of commands out of the box
  • Requires installation and configuration
  • Limited to transactional workflows only
  • Requires developer integration effort
  • Auction-based pricing can be unpredictable
  • Limited to specific weeks and cluster during initial auction
  • Requires self-hosting and setup
  • Limited to supported protocols (OpenAI, Anthropic, Bedrock)
Best For
  • Developers using AI coding assistants to reduce token consumption
  • Teams running frequent git commands or test suites in LLM contexts
  • Developers automating checkout and payment processes
  • Teams building agentic commerce applications
  • AI researchers
  • Machine learning engineers
  • Teams managing LLM costs
  • Developers needing policy-based routing

How to use szr?

  1. 1Install via Go, Homebrew, npm, or pip.
  2. 2Run any command through szr: szr git status or szr go test ./...
  3. 3Configure by editing config.json or using szr settings.
  4. 4Install AI tool integrations with szr install claude-code or similar.
  5. 5Monitor savings with szr spread and szr discover.

szr Key Features

  • Wraps shell commands to produce compact, token-efficient output
  • Preserves critical information (errors, line numbers, exit codes)
  • Deduplication and delta summaries for re-run efficiency
  • Artifact recovery: full output stored locally with a reference pointer
  • AI tool integration hooks (Claude Code, Cursor, Gemini, Codex)

szr Use Cases

  • Reducing token costs in AI-assisted development workflows
  • Sending cleaner command outputs to LLMs for debugging or explanation
  • Minimizing context window usage when iterating on git diffs or test runs
  • Aggregating savings across sessions and agents

szr Pricing & Free Credits

szr currently operates on a Free model.

This tool is completely free to use

Free

$0

Open-source CLI tool available under Apache 2.0 license

szr Pros & Cons

Pros

  • Significantly reduces token usage for common shell commands
  • Preserves exit codes and critical diagnostic information
  • Open source and free to use
  • Supports integration with major AI coding assistants
  • Deduplication avoids redundant processing of identical output

Cons

  • Only supports a limited set of commands out of the box
  • Requires installation and configuration
  • Some users may prefer raw output for full control

What is szr best for?

  • Developers using AI coding assistants to reduce token consumption
  • Teams running frequent git commands or test suites in LLM contexts
  • Anyone seeking to lower costs when using pay-per-token AI models

szr FAQ

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