Building LangChain agents? Here's the cost problem nobody talks about:

40-70% of agent tool calls don't need expensive flagship models.

A customer support agent making 1000 calls/day = $150/mo wasted on overkill routing.

Solution: Smart cascading in 3 lines.

github.com/lemony-ai/cascadeflow

Release Day 6 🤖 cascadeflow for Agents

Tool calls multiply costs. 49% cite ROI as #1 adoption barrier.

cascadeflow's drafter/verifier pattern saves 20-60% on agent systems:
- Tool call cost optimization
- Per-agent budget tracking
- Real-time spend visibility

⭐ github.com/lemony-ai/ca...

Release Day 5 🔌 cascadeflow for edge devices

Where it all started. Run AI on performance-limited hardware:
- Fully local: vLLM/Ollama support, <10B handles most
- Hybrid: escalate to cloud only when needed
- Domain-specific models outperform flagships

Examples
⭐ github.com/lemony-ai/ca...

#EdgeAI

Day 2 of release sprint 🎯

n8n integration is live on github! cascadeflow now plugs into your workflows.

Connect 2 models (cheap drafter + flagship verifier) instead of 1 expensive model. 70-80% of queries never touch the flagship = 40-85% cost savings.

⭐ us: github.com/lemony-ai/ca...

#n8n #AI