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Tools and frameworks

Radium exposes an OpenAI-compatible Chat Completions API. Any framework, SDK, or library that can point at a custom base URL and model name works with Radium. This section covers the most common integrations.

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Frameworks

LangChain

Python chains and agents via ChatOpenAI

LangGraph

State-machine agents with graph nodes

LlamaIndex

RAG and query engines via OpenAILike

Vercel AI SDK

Next.js and Node.js streaming

OpenAI Python SDK

Direct SDK with custom base URL

PydanticAI

Type-safe agents withOpenAIChatModel

CrewAI

Multi-agent crews with LiteLLM routing

DSPy

Program optimization with signatures

AG2

AutoGen successor with OpenAIConfig

Agno

Lightweight agents with OpenAILike

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What changes in every integration

Three values change when you point any framework at Radium:
  1. Base URL — https://api.radium.cloud/v1 (OpenAI format)
  2. API key — your Radium API key from deploy.radium.cloud
  3. Model string — hal-1.0, clarke-1.0, or tycho-1.0
Everything else — prompts, tools, chains, agents, streaming logic — stays the same.

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Compatibility matrix

All integrations were verified with Python 3.12.7 or Node.js 22+ against hal-1.0, clarke-1.0, and tycho-1.0.

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Common patterns

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Environment variables

Every guide uses the same two environment variables:

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Virtual environment

Python guides create a virtual environment before installing packages:

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Model selection

Switch models by changing the environment variable:

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Troubleshooting all integrations