135 lines
4.4 KiB
Markdown
135 lines
4.4 KiB
Markdown
# BrokeCrew 🤖⚡
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[](https://github.com/brokecrew/brokecrew/actions)
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[](LICENSE-MIT)
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[](https://crates.io/crates/brokecrew)
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**A lightweight, resilient, async-first Rust CLI that coordinates a specialized team of AI personas backed by OpenRouter models.**
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BrokeCrew makes free-tier models first-class citizens while eliminating their instability through live model catalog discovery, ranked multi-candidate fallback cascades, account-wide rate-limit budgeting, and multi-agent handoff pipelines.
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---
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## Why BrokeCrew (vs LiteLLM or RouteLLM)?
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| Feature | BrokeCrew | LiteLLM Proxy / RouteLLM |
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| :--- | :--- | :--- |
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| **Footprint & Startup** | Single standalone native binary (~15MB), sub-10ms startup. | Heavy Python runtime, tens of pip dependencies, slower startup. |
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| **Hardware Fit** | Designed to run smoothly on low-RAM ARM tablets, Raspberry Pis, and local dev boxes. | Heavy memory consumption unsuited for constrained devices. |
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| **Persona Fallback Walk** | Declarative ranked candidates per persona (`qwen:free` → `deepseek:free` → paid fallback). | Static routing with complex configuration layers. |
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| **Live Catalog Awareness** | Syncs `/v1/models` in background; skips dropped/offline models before wasting requests. | Often returns raw 404/400 errors when models vanish. |
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| **Account-Wide Budgeting** | Tracks rolling 20 req/min and daily quotas (50 or 1,000 req/day) across all calls including router. | Typically only tracks proxy tokens, not OpenRouter account limits. |
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| **Multi-Agent Handoffs** | Built-in typed pipelines (`coder` → `reviewer`) with real-time SSE streaming per persona. | Requires external orchestration frameworks (LangGraph, CrewAI). |
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---
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## Terminal Experience
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BrokeCrew formats multi-agent discussions like a vibrant team group chat:
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```text
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$ brokecrew chat --pipeline build-and-review "Write a Rust LRU cache"
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[coder] (qwen/qwen-2.5-coder-32b-instruct:free)
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Here is a thread-safe, high-performance LRU cache implementation using std::collections::HashMap
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and a doubly-linked list with generational indexing...
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[reviewer] (meta-llama/llama-3.3-70b-instruct:free)
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Code Review:
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1. Concurrency: Eviction edge case when capacity is 0 is unhandled.
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2. Memory Safety: Generational indices avoid raw pointers; good choice.
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3. Suggestion: Implement std::borrow::Borrow to allow lookup by &str rather than String.
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```
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---
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## Quickstart
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### 1. Installation
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```bash
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cargo install brokecrew
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```
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Or build from source:
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```bash
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git clone https://github.com/brokecrew/brokecrew.git
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cd brokecrew
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cargo install --path .
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```
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### 2. Configure OpenRouter API Key
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BrokeCrew securely stores your API key in your OS credential store (`keyring`), never in plaintext:
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```bash
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brokecrew config set-key
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```
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*(You can also export `OPENROUTER_API_KEY="sk-or-v1-..."` or pass `--api-key` for headless servers).*
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### 3. Start Chatting
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Zero-config instant routing:
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```bash
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brokecrew chat "build me a proxy checker site"
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```
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*Stage A regex/keyword routing automatically detects "build/site" and dispatches to the `coder` persona in 0ms!*
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Run an interactive team session:
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```bash
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brokecrew chat
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```
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Run a multi-agent handoff pipeline:
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```bash
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brokecrew chat --pipeline build-and-review "Implement a token bucket rate limiter in Python"
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```
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Check model catalog and quota health:
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```bash
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brokecrew status
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```
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List available personas:
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```bash
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brokecrew personas list
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```
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---
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## Declarative Personas (`personas.toml`)
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Personas are defined in `~/.config/brokecrew/personas.toml` (or `./config/personas.example.toml`):
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```toml
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[[persona]]
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name = "coder"
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system_prompt = "You are a precise, terse coding assistant. Output working code, minimal commentary."
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trigger_words = ["build", "code", "script", "function", "website", "api"]
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[[persona.candidates]]
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id = "qwen/qwen-2.5-coder-32b-instruct:free"
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tier = "free"
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is_stealth = false
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[[persona.candidates]]
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id = "deepseek/deepseek-coder:free"
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tier = "free"
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is_stealth = false
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[[persona.candidates]]
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id = "google/gemini-2.0-flash-001"
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tier = "paid"
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is_stealth = false
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```
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---
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## License
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Dual-licensed under either:
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- Apache License, Version 2.0 ([LICENSE-APACHE](LICENSE-APACHE))
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- MIT license ([LICENSE-MIT](LICENSE-MIT))
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at your option.
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