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Move Gateway out of Quick Start, collapse n8n and LangChain integrations by default
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README.md

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## Quick Start
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### Drop-In Gateway (Existing Apps)
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If you already have an app using the OpenAI or Anthropic APIs and want the fastest integration,
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run the gateway and point your existing client at it:
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```bash
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python -m cascadeflow.server --mode auto --port 8084
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```
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Docs: `docs/guides/gateway.md`
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### <img src=".github/assets/CF_python_color.svg" width="24" height="24" alt="Python"/> Python
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```python
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📊 **Learn more:** [Cost Tracking Guide](https://docs.cascadeflow.ai/harness/budget-enforcement) | [Production Best Practices](https://docs.cascadeflow.ai/developers/production-and-deployment) | [Performance Optimization](https://docs.cascadeflow.ai/developers/tools-and-streaming)
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<details>
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<summary><b>Drop-In Gateway (Existing Apps)</b></summary>
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If you already have an app using the OpenAI or Anthropic APIs and want the fastest integration, run the gateway and point your existing client at it:
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```bash
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python -m cascadeflow.server --mode auto --port 8084
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```
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</details>
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## <img src=".github/assets/CF_n8n_color.svg" width="24" height="24" alt="n8n"/> n8n Integration
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<details>
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<summary><b><img src=".github/assets/CF_n8n_color.svg" width="24" height="24" alt="n8n" style="vertical-align: middle;"/> n8n Integration</b></summary>
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Use cascadeflow in n8n workflows for no-code AI automation with automatic cost optimization!
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- 16-domain cascading for specialized model routing
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- Real-time flow visualization in Logs/Output tabs
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🔌 **Learn more:** [n8n Integration Guide](https://docs.cascadeflow.ai/integrations/n8n) | [n8n Package](./packages/integrations/n8n/)
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</details>
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## <picture><source media="(prefers-color-scheme: dark)" srcset="./.github/assets/LC-logo-bright.png"><source media="(prefers-color-scheme: light)" srcset="./.github/assets/LC-logo-dark.png"><img src="./.github/assets/LC-logo-dark.png" width="42" alt="LangChain" style="vertical-align: middle;"></picture> LangChain Integration
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<details>
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<summary><b><picture><source media="(prefers-color-scheme: dark)" srcset="./.github/assets/LC-logo-bright.png"><source media="(prefers-color-scheme: light)" srcset="./.github/assets/LC-logo-dark.png"><img src="./.github/assets/LC-logo-dark.png" width="42" alt="LangChain" style="vertical-align: middle;"></picture> LangChain Integration</b></summary>
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Use cascadeflow with LangChain for intelligent model cascading with full LCEL, streaming, and tools support!
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🦜 **Learn more:** [LangChain Integration Guide](https://docs.cascadeflow.ai/integrations/langchain) | [TypeScript Package](./packages/langchain-cascadeflow/) | [Python Examples](./examples/)
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</details>
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## Resources

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