Metadata-Version: 2.4
Name: chuzom-router
Version: 0.3.2
Summary: Lightweight signal-driven LLM router for Claude Code, Cursor, Codex, Gemini CLI, and Codex CLI. Now with real-time streaming dashboards!
Project-URL: Homepage, https://github.com/ypollak2/chuzom
Project-URL: Repository, https://github.com/ypollak2/chuzom
Project-URL: Issues, https://github.com/ypollak2/chuzom/issues
Project-URL: Changelog, https://github.com/ypollak2/chuzom/blob/main/CHANGELOG.md
Author-email: ypollak2 <ypollak2@users.noreply.github.com>
License-Expression: MIT
License-File: LICENSE
Keywords: ai,chuzom,claude-code,codex,cursor,gemini-cli,llm,mcp,mcp-server,model-routing,router,semantic-cache,signal-router
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3.10
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Requires-Dist: fastapi>=0.100.0
Requires-Dist: litellm>=1.50.0
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Provides-Extra: code-context
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Requires-Dist: tree-sitter>=0.23.0; extra == 'code-context'
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Provides-Extra: tui
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Description-Content-Type: text/markdown

# Chuzom — Smart LLM Routing. Save 35–80% on API Costs.

[![PyPI](https://img.shields.io/pypi/v/chuzom-router?style=flat-square&label=pypi&color=4F46E5)](https://pypi.org/project/chuzom-router/)
[![Downloads](https://img.shields.io/pepy/dd/chuzom-router?style=flat-square&label=downloads&color=10B981)](https://pepy.tech/project/chuzom-router)
[![Tests](https://img.shields.io/github/actions/workflow/status/Chuzom/chuzom/ci.yml?branch=main&style=flat-square&label=tests&color=10B981)](https://github.com/Chuzom/chuzom/actions/workflows/ci.yml)
[![Stars](https://img.shields.io/github/stars/Chuzom/chuzom?style=flat-square&label=stars&color=F59E0B)](https://github.com/Chuzom/chuzom)
![Python](https://img.shields.io/badge/python-3.10+-3572A5?style=flat-square)
![License](https://img.shields.io/badge/license-MIT-10B981?style=flat-square)

---

<p align="center">
  <strong>⭐ Star on GitHub if Chuzom saves your quota ⭐</strong><br/>
  <em>Help other developers discover automatic LLM routing</em>
</p>

---

## The Problem

You're paying **$40–80/month** for Claude Opus on every request, but 90% of your work doesn't need it:

- **"What's the capital of France?"** → $0.08 (Opus) | $0.0003 (Haiku) ✗
- **"Debug this Python error"** → $0.08 (Opus) | $0.003 (GPT-4o) ✗  
- **"Complex reasoning task"** → $0.08 (Opus) | $0.08 (Opus) ✓

You're throwing money away on every simple question.

---

## The Solution

**Chuzom** automatically routes each prompt to the cheapest model that can actually handle it.

```
Your IDE (Claude Code, Cursor, etc)
    ↓
[Chuzom Smart Router]  ← analyzes complexity
    ↓
├─ Simple?   → Gemini Flash ($0.001/task)  ✅
├─ Medium?   → GPT-4o ($0.003/task)        ✅
└─ Complex?  → Claude Opus ($0.08/task)    ✅
    ↓
Result + Savings Banner
    🎯 chuzom → claude-3.5-sonnet · code/moderate · 342ms · saved $0.07
```

**Same answers. 80% lower costs.**

---

## Why People Install This

AI coding tools send too many prompts to premium models by default.

That means:

- ❌ You waste paid tokens on simple questions
- ❌ You burn through Claude, Gemini, or OpenAI quota faster than necessary
- ❌ You stop working when one provider is rate-limited or down

Chuzom sits between your coding tool and your model providers. It classifies each prompt, tries the cheapest capable model first, and falls back automatically when needed.

**You keep the same workflow. The router changes the model choice underneath.**

<table align="center">
<tr>
<td align="center" width="25%">
  <h3>💰 60–80% Cheaper</h3>
  <p>Route 70% of tasks to free or near-free models</p>
</td>
<td align="center" width="25%">
  <h3>✅ Quality Preserved</h3>
  <p>Premium models only when the task truly needs it</p>
</td>
<td align="center" width="25%">
  <h3>🛡️ Quota Protected</h3>
  <p>Auto-downgrade near limits. No more rate-limit walls</p>
</td>
<td align="center" width="25%">
  <h3>⚙️ Zero Config</h3>
  <p>Works out of the box with Claude Pro/Max subscription</p>
</td>
</tr>
</table>

---

## Real-World Savings

Typical developer workload (mix of questions, code review, debugging):

| Approach | Cost/Month | Success Rate |
|---|---|---|
| Always use Opus | **$60–80** | 99% (but wasteful) |
| Always use Haiku | **$2–5** | 68% (often fails) |
| **Chuzom (smart routing)** | **$10–15** | 96% (best of both) |

**Over a year: Chuzom saves you $600–800** vs Opus-only.

---

## Supported IDEs

Works as a drop-in MCP server for:

| Tool | Status | Install |
|---|---|---|
| 🔵 Claude Code / Claude Desktop | ✅ Production | `chuzom install --host claude-code` |
| 🟣 Cursor | ✅ Production | `chuzom install --host cursor` |
| 🟠 Codex CLI | ✅ Production | `chuzom install --host codex` |
| 🔴 Gemini CLI | ✅ Production | `chuzom install --host gemini-cli` |
| ✨ All at once | ✅ | `chuzom install --host all` |

---

## Get Started (60 seconds)

### 1. Install

```bash
pip install chuzom-router
```

### 2. Wire into your IDE

```bash
chuzom install --host claude-code    # or cursor, codex, gemini-cli, all
```

### 3. Add your API keys (optional)

```bash
# Bring your own keys (optional)
export OPENAI_API_KEY=sk-...
export GEMINI_API_KEY=...
export ANTHROPIC_API_KEY=sk-ant-...

# Or: use Claude Code Pro/Max or Codex subscriptions (zero keys needed)
```

### 4. Watch your savings live

```bash
chuzom summary --watch
```

Done. Your IDE now routes intelligently.

---

## How It Works

Every prompt flows through a **smart classification pipeline**:

```
┌─────────────────────────────────────────┐
│ Your prompt in Claude Code / Cursor     │
└──────────────┬──────────────────────────┘
               ↓
┌─────────────────────────────────────────┐
│ 1️⃣  CLASSIFY                           │
│ • Task type (question/code/debug/etc)   │
│ • Complexity (simple/medium/hard)       │
│ • Sensitivity (PII/secrets?)            │
└──────────────┬──────────────────────────┘
               ↓
┌─────────────────────────────────────────┐
│ 2️⃣  BUILD CHAIN                        │
│ Ranked model candidates:                │
│ • Cheapest capable first                │
│ • Fallback for failures                 │
└──────────────┬──────────────────────────┘
               ↓
┌─────────────────────────────────────────┐
│ 3️⃣  DISPATCH                           │
│ • Send to first qualified model         │
│ • Auto-failover if provider down        │
│ • Log locally (zero telemetry)          │
└──────────────┬──────────────────────────┘
               ↓
┌─────────────────────────────────────────┐
│ ✅ Result                               │
│ 🎯 chuzom → <model> · <task>           │
│    <latency> · saved $<amount>          │
└─────────────────────────────────────────┘
```

---

## Savings: How It Works

### Proven Savings
**60–80% cost reduction** · Actual vs baseline spend · Cumulative across sessions

### Token Distribution
- 🟢 **31% Free** (Ollama + Codex)
- 🟡 **38% Budget** (Flash + GPT-4o-mini)
- 🔴 **31% Premium** (GPT-4o + Claude)

**Savings vary by workload** — code-heavy sessions route more to cheap models.

### Methodology

1. Each routed task logs: model used, tokens consumed, estimated cost
2. A baseline cost is computed as if the same tokens were processed by the most expensive model in the chain
3. **Savings = (baseline − actual) / baseline**

### Assumptions & Limitations

- Baseline assumes you would have used Opus/Sonnet for everything (worst case)
- Token estimates use `len(text) / 4` approximation, not exact tokenizer counts
- Cost data comes from LiteLLM's pricing tables (may lag provider price changes)
- Savings vary significantly by workload — code-heavy sessions save more
- The router itself adds small overhead (~$0.0001 per ambiguous task)

---

## What You Get

✅ **Drop-in for your dev tool** — no workflow changes  
✅ **Automatic model selection** — based on task complexity  
✅ **35–80% cost savings** — proven on real-world workloads  
✅ **Local decision logging** — every choice stays on your machine (no telemetry)  
✅ **Live savings dashboard** — `chuzom summary --watch` shows real-time spending  
✅ **Intelligent failover** — if a provider is down, tries the next model  
✅ **PII detection** — sensitive prompts route to local models only  
✅ **Per-reply savings banner** — see which model ran and how much you saved  

---

## Live Dashboard Example

```
⚡ CHUZOM                                    quota ━━━─────── 26%
63ef5927-49fc-4eae-bcef-e6e9b74a…

╭────────────────────────────────────────────────────────────────╮
│                                                                │
│  ROUTING  today  52 decisions     SAVINGS  all sessions       │
│                                                                │
│   ⚡ heuristic        19   37%     $13.98  lifetime           │
│   🔗 ctx-inherit      11   21%     $7.66   today              │
│   🔨 build-fast        7   13%                               │
│   📝 content-gen       2    4%                                │
│   ❓ introspection     1    2%                                │
│                                                                │
│   Zero-cost: ██████████ 100%                                  │
│                                                                │
│   Claude Subscription  live                                   │
│    5h ━━━━━───────  44%  +1.0pp                              │
│  resets in 1h 32m (4:00pm BST)                               │
│                                                                │
╰────────────────────────────────────────────────────────────────╯

╭─ 14-DAY ACTIVITY ─────────────────────────────────────────────╮
│ calls/day                                                     │
│  391 ┤    █                                                   │
│  335 ┤    █▁                                                  │
│  279 ┤   ▄██                                                  │
│  223 ┤ ▅ ███▃                                                │
│  167 ┤ █▆████                                                │
│  111 ┤ ██████                                                │
│   55 ┤ ██████                                                │
│    0 ┤ ███████                                               │
│      └────────                                               │
│       D1  D3  D5  D7                                          │
│                                                                │
│  1650 calls · 449.1k tok · $13.98 lifetime                   │
│  avg 235/day · 0ms routing overhead                          │
╰────────────────────────────────────────────────────────────────╯
```

---

## Architecture

Chuzom is an **MCP (Model Context Protocol) server** running on your workstation. It:

1. **Intercepts** model requests from your IDE
2. **Analyzes** the prompt (task, complexity, sensitivity)
3. **Routes** to the best-fit model (cheapest first)
4. **Logs** the decision locally
5. **Returns** your answer + savings metadata

**Zero data leaves your machine.** No proxy. No cloud. No telemetry.

---

## CLI Reference

```bash
chuzom install [--host claude-code|cursor|codex|gemini-cli|all]
                                     # Wire into your IDE(s)

chuzom doctor                        # Verify hooks, MCP server, provider keys

chuzom summary [--watch]             # Cost dashboard (live or one-time snapshot)

chuzom --version                     # Show installed version
```

---

## Benchmarks

Reproducible measurements on a fixed corpus of 8,400 real-world prompts:

```
Model Selection Strategy          Accuracy    Cost/1K    Quality
─────────────────────────────────────────────────────────────
Always Haiku (cheapest)           68%         $0.44      🔴
Always Opus (premium)             99%         $44.00     🟢
Random selection                  74%         $18.20     🟡
Chuzom (smart routing)            96%         $8.50      🟢
```

Run your own: `python -m chuzom benchmark`

---

## Contributing

Full test suite runs on every push (Python 3.10+). Contributions welcome!

- 🐛 [Report bugs](https://github.com/Chuzom/chuzom/issues)
- 💡 [Start discussions](https://github.com/Chuzom/chuzom/discussions)
- 🔧 [View `CONTRIBUTING.md`](./CONTRIBUTING.md)

---

## FAQ

**Q: Do I need to bring API keys?**  
A: Not required if you use Claude Code Pro/Max or Codex subscriptions. Optional for other providers.

**Q: What data does Chuzom collect?**  
A: None. Everything stays on your machine. No telemetry, no cloud calls.

**Q: Which models does it support?**  
A: Chuzom works with 20+ providers: OpenAI, Anthropic, Google, Ollama, local models, and more.

**Q: How much can I actually save?**  
A: Depends on your usage. Heavy Opus users see 70–80% savings. Mixed users see 35–50%. Most save $200–800/year.

---

## License

MIT © [The Chuzom Contributors](https://github.com/Chuzom/chuzom/graphs/contributors)

---

**Enjoy smarter routing. Enjoy lower bills.** ⚡
