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# Introduction | ||
This folder contains examples demonstrating the use of the MULTI-ON API. | ||
This folder contains examples demonstrating the use of the MultiOn Agent API. | ||
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# Demos | ||
- [MultiOn Task Scheduler App](https://github.com/MULTI-ON/api/blob/main/examples/task_scheduler) : An demo AI Scheduler App that allow scheduling web tasks that can run recurringly built using our Python SDK and LangChain integration (see [Tweet](https://x.com/DivGarg9/status/1692613026451542095?s=20)). | ||
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# Getting started Examples | ||
- [Multion_api_example.ipynb](https://github.com/MULTI-ON/api/blob/main/examples/Multion_api_example.ipynb): A Jupyter notebook demonstrating basic usage of the MULTI-ON API. | ||
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- [advanced_langchain_custom_tools.ipynb](https://github.com/MULTI-ON/api/blob/main/examples/advanced_langchain_custom_tools.ipynb): A notebook showing more advanced usage with LangChain by creating a custom tool. | ||
- [agent_api_example.ipynb](https://github.com/MULTI-ON/api/blob/main/examples/Multion_api_example.ipynb): A Jupyter notebook demonstrating basic usage of the MultiOn Agent API. | ||
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# Usage | ||
To use these examples, clone the repository, install any necessary dependencies, and run the examples. | ||
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**Minimum supported version of langchain to run the langchain examples: v0.0.265** | ||
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# Contributing | ||
Contributions to the examples are encouraged. Please follow the contribution guidelines. | ||
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# License | ||
These examples are released under the MIT license. | ||
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# Contact | ||
For any questions or help, please reach out to us. | ||
For any questions or help, please reach out to us on our [Discord](https://discord.gg/multion) |