arcade-mcp/contrib/examples/langchain/studio/README.md
2025-10-22 18:26:27 -07:00

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## Setup
### Environment
Copy the `env.example` file to `.env` and supply your API keys for **at least** `OPENAI_API_KEY` and `ARCADE_API_KEY`.
- Arcade API key: `ARCADE_API_KEY` (instructions [here](https://docs.arcade.dev/home/api-keys))
- OpenAI API key: `OPENAI_API_KEY` (instructions [here](https://platform.openai.com/docs/quickstart))
## Usage with LangGraph API
### Local testing with LangGraph Studio
[Download LangGraph Studio](https://github.com/langchain-ai/langgraph-studio?tab=readme-ov-file#download) and open this directory in the Studio application.
The `langgraph.json` file in this directory specifies the graph that will be loaded in Studio.
### Deploying to LangGraph Cloud
Follow [these instructions](https://langchain-ai.github.io/langgraph/cloud/quick_start/#deploy-to-cloud) to deploy your graph to LangGraph Cloud.