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Documentation Index

Fetch the complete documentation index at: https://docs.cascadeflow.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Python

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Minimal install

pip install cascadeflow
Core dependencies: pydantic>=2.0.0, httpx>=0.25.0, tiktoken>=0.5.0, rich>=13.0.0.

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With providers

pip install "cascadeflow[providers]"  # OpenAI + Anthropic + Groq
Individual providers: 
pip install "cascadeflow[openai]"      # OpenAI
pip install "cascadeflow[anthropic]"   # Anthropic
pip install "cascadeflow[groq]"        # Groq
pip install "cascadeflow[huggingface]" # Hugging Face
pip install "cascadeflow[together]"    # Together AI

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With framework integrations

pip install "cascadeflow[langchain]"       # LangChain/LangGraph
pip install "cascadeflow[openai-agents]"   # OpenAI Agents SDK
pip install "cascadeflow[crewai]"          # CrewAI (Python 3.10+)
pip install "cascadeflow[google-adk]"      # Google ADK (Python 3.10+)

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Local inference

pip install "cascadeflow[vllm]"  # vLLM (Python 3.10-3.13)
Ollama does not need a Python package — cascadeflow communicates with Ollama via HTTP at localhost:11434. Install Ollama separately from ollama.ai.

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Everything

pip install "cascadeflow[all]"  # All providers + semantic routing

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Development

git clone https://github.com/lemony-ai/cascadeflow.git
cd cascadeflow
pip install -e ".[dev]"

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TypeScript

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Core

npm install @cascadeflow/core

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Framework packages

npm install @cascadeflow/langchain                # LangChain integration
npm install @cascadeflow/vercel-ai                 # Vercel AI SDK middleware
npm install @cascadeflow/n8n-nodes-cascadeflow     # n8n community node

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Provider Setup

Set API keys as environment variables: 
export OPENAI_API_KEY="sk-..."
export ANTHROPIC_API_KEY="sk-ant-..."
export GROQ_API_KEY="gsk_..."
cascadeflow auto-detects available providers based on which API keys are set.

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Verify Installation

python -c "import cascadeflow; print(cascadeflow.__version__)"

python -c "from cascadeflow import init, run, HarnessConfig, HarnessRunContext; print('OK')"

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Next Step

Start observing your LLM calls with zero code changes. Quickstart: Observe Mode →