140f4eca17
- **New Class Structure**: Introduced `ToolManager` and `AsyncToolManager` classes (`ArcadeToolManager` is deprecated) - **Async Support**: Full async implementation for modern LangChain applications - **Better Tool Management**: New methods for adding individual tools and toolkits - **CI/CD**: for langchain_arcade ## Upgrade Changes ```python # Old pattern manager = ArcadeToolManager(api_key="...") tools = manager.get_tools(toolkits=["Google"]) # New pattern manager = ToolManager(api_key="...") manager.init_tools(toolkits=["Google"]) tools = manager.to_langchain() ``` Now supports underscores vs dots in tool names for better model compatibility.
20 lines
854 B
Markdown
20 lines
854 B
Markdown
## Setup
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### Environment
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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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- Arcade API key: `ARCADE_API_KEY` (instructions [here](https://docs.arcade.dev/home/api-keys))
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- OpenAI API key: `OPENAI_API_KEY` (instructions [here](https://platform.openai.com/docs/quickstart))
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## Usage with LangGraph API
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### Local testing with LangGraph Studio
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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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