openclaw-smart-routerAutomatically routes AI requests to cost-optimal models based on task complexity and budget, saving 30-50% on model expenses with adaptive learning.
Install via ClawdBot CLI:
clawdbot install AtlasPA/openclaw-smart-routerSave 30-50% on model costs through intelligent, automatic model selection.
The first OpenClaw skill that automatically routes requests to optimal models based on complexity analysis and budget constraints. Stops you from wasting money on expensive models for simple tasks. Learns from your usage patterns and gets smarter over time.
Free Tier:
Pro Tier (0.5 USDT/month):
```bash
claw skill install openclaw-smart-router
```
```bash
claw router stats
claw router analyze "Your task description..."
claw router history --limit=10
claw router savings
claw router dashboard
claw router subscribe
```
What makes a task complex?
Examples:
Simple (0.0-0.3) ā Haiku:
Medium (0.3-0.6) ā Sonnet:
Complex (0.6-0.8) ā Opus:
Expert (0.8-1.0) ā Opus:
```
Without Smart Router:
With Smart Router:
Savings: $27.60/month (61%)
```
```
Without Smart Router:
With Smart Router:
Savings: $240/month (80%)
```
Agents can autonomously evaluate if Pro tier is worth it:
Example ROI:
```
Agent making 100 requests/day:
```
Economic rationale: If routing decisions save more than 0.5 USDT/month in model costs, Pro tier pays for itself. Agent can autonomously pay via x402 without human approval.
See AGENT-PAYMENTS.md for x402 integration details.
Smart Router learns from your usage:
Example Learning:
```
Pattern detected: "Debug Python errors"
History: Haiku failed 3 times, Sonnet succeeded 5 times
Learning: Always use Sonnet+ for Python debugging
Next time: "Debug this Python error..."
ā Automatically routes to Sonnet instead of Haiku
```
What it learns:
```bash
claw skill install openclaw-memory
claw skill install openclaw-context-optimizer
claw skill install openclaw-smart-router
```
~/.openclaw/openclaw-smart-router/Access web UI at http://localhost:9093:
Smart Router automatically calculates return on investment:
```bash
$ claw router savings
Cost Analysis (Last 30 Days)
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
Routing decisions: 2,847
Average complexity: 0.45
Model distribution:
Total actual cost: $35.72
Without Smart Router: $128.12
Savings: $92.40 (72%)
Pro cost: $0.50/month
Net profit: $91.90/month
ROI: 18,380% š
```
```bash
POST /api/analyze
{
"agent_wallet": "0x...",
"query": "Task description...",
"context_length": 1500
}
{
"complexity": 0.65,
"recommended_model": "claude-sonnet-4-5",
"recommended_provider": "anthropic",
"estimated_cost": 0.008,
"reasoning": "Medium complexity code task"
}
GET /api/stats?agent_wallet=0x...
GET /api/savings?agent_wallet=0x...
GET /api/patterns?agent_wallet=0x...
POST /api/x402/subscribe
POST /api/x402/verify
GET /api/x402/license/:wallet
```
Smart Router respects your spending limits:
Budget levels:
Budget strategies:
Budget constraint handling:
```
IF daily_limit_reached:
ā Downgrade to cheapest viable model
ā Warn user about constraint
ā Log budget event
```
Anthropic:
OpenAI:
Google:
Custom providers:
```
Smart Router Stats (30 Days)
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
Total decisions: 2,847
Avg complexity: 0.45
Complexity breakdown:
Model distribution:
Cost: $35.72 (vs $128.12 without)
Savings: 72% ($92.40/month)
Pattern learning:
```
Should you upgrade to Pro?
Calculate your potential savings:
```
Current requests/day Ć Avg cost per request = Monthly cost
Apply 30-50% savings = Amount saved
If saved amount > 0.5 USDT/month ā Pro pays for itself
```
Typical savings:
ROI gets better with scale.
Built by the OpenClaw community | First smart model router with x402 payments
Generated Mar 1, 2026
A development team uses the router to automatically select cheaper models for simple tasks like code formatting and debugging, while reserving expensive models for complex architectural design, reducing overall AI costs by 30-50% without manual intervention.
A customer support department integrates the router to handle high-volume inquiries, routing basic FAQs to cost-effective models like GPT-3.5 and escalating complex issues to advanced models, optimizing response quality and budget.
An agency leverages the router to analyze content complexity, using cheaper models for simple edits and summaries, and premium models for in-depth research and creative writing, maximizing efficiency and cost savings.
An online learning platform employs the router to tailor AI assistance based on student queries, using basic models for straightforward explanations and advanced models for complex problem-solving, enhancing learning outcomes while controlling expenses.
A research firm uses the router to automate data synthesis, routing routine data processing to economical models and reserving expert models for novel analysis, improving productivity and reducing operational costs.
Offers a free tier with limited daily routing decisions to attract users, then up sells to a Pro tier at 0.5 USDT/month for unlimited usage and advanced features, generating recurring revenue from cost-conscious teams and agents.
Partners with enterprises to integrate the router into their AI workflows, charging a percentage of the cost savings achieved, aligning incentives and providing value through demonstrable ROI on model expenditures.
Monetizes autonomous AI agents that use the router, with agents paying 0.5 USDT/month via x402 payments if the Pro tier saves them more than that amount, creating a self-sustaining ecosystem of automated transactions.
š¬ Integration Tip
Install with a single command and use built-in stats tracking to monitor savings; combine with memory and context optimizer skills for maximum cost reduction.
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