lemony-ai/cascadeflow

Health v2 · maintenance only

Adoption not part of the score

3980 stars · 912 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Cascadeflow is an open-source agent runtime intelligence layer (Python and TypeScript SDKs) that sits inside the AI agent loop to observe, score, and enforce decisions on every model call, tool call, and sub-agent handoff. It optimizes cost, latency, quality, budget, compliance, and energy in real time with sub-5ms overhead, supporting 17+ LLM providers and frameworks like LangChain, OpenAI Agents SDK, CrewAI, Vercel AI, and n8n.

Use cases

• reduce LLM costs in agent workflows by cascading to cheaper models
• enforce spending budgets on AI agent runs
• route model calls based on cost, latency, and quality tradeoffs
• add policy and compliance enforcement to agent execution
• audit and track every step of an AI agent loop
• switch models mid-run when predicted cost exceeds thresholds
• block unsafe tool calls in autonomous agents

When to choose

• you run multi-step agents and need per-step cost/quality governance
• you want model cascading to cut LLM spend without losing quality
• you need in-process enforcement with minimal latency overhead instead of an external proxy
• you use LangChain, OpenAI Agents SDK, CrewAI, or n8n and want drop-in runtime controls

When to avoid

• you only need simple request-level model routing without agent context
• your stack has no supported SDK or agent framework integration
• you need a hosted managed gateway rather than an in-process library
• your project is not LLM/agent-based

Facets

library · maturity active

agent-framework llm-inference monitoring rate-limiting middleware large-language-models developer-tools artificial-intelligence python cross-platform cli model-cascading cost-optimization budget-enforcement agent-runtime llm-routing policy-enforcement langchain openai anthropic typescript-sdk ai-agents nodejs

Member repositories

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markdown · JSON · MCP: product_card(name="lemony-ai/cascadeflow")