4d2786935a
Co-authored-by: Eric Gustin <eric@arcade-ai.com> Co-authored-by: Nate Barbettini <nathanaelb@gmail.com> Co-authored-by: Nate Barbettini <nate@arcade-ai.com>
21 lines
998 B
Markdown
21 lines
998 B
Markdown
## Setup
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Follow [these instructions](https://arcade-ai.com/home/quickstart) to Install Arcade AI and create an API key.
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This example is using OpenAI, as the LLM provider. Ensure you have an [OpenAI API key](https://platform.openai.com/docs/quickstart).
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Copy the `env.example` file to `.env` and supply your API keys for **at least** `OPENAI_API_KEY` and `ARCADE_API_KEY`.
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## Usage with LangGraph API
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### Local testing with LangGraph Studio
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For testing locally (e.g., currently supported only on MacOS), you can use the LangGraph Studio desktop application.
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[Download LangGraph Studio](https://github.com/langchain-ai/langgraph-studio?tab=readme-ov-file#download) and open this directory in the Studio application.
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The `langgraph.json` file in this directory specifies the graph that will be loaded in Studio.
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### Deploying to LangGraph Cloud
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Follow [these instructions](https://langchain-ai.github.io/langgraph/cloud/quick_start/#deploy-to-cloud) to deploy your graph to LangGraph Cloud.
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