what's the recommended approach if someone wants to use sdk with agent frameworks.

@DankKnight When integrating an SDK with agent frameworks, the recommended approach typically involves the following steps: 1. **Understand the SDK and Framework Compatibility**: Ensure that the SDK is compatible with the agent framework you are using. Check the documentation for both to confirm compatibility. 2. **Install the SDK**: Follow the installation instructions provided by the SDK documentation. This usually involves adding a library to your project through a package manager or manually including the files. 3. **Initialize the SDK**: Most SDKs require some form of initialization, which may include setting up authentication, configuring endpoints, or specifying certain options. 4. **Integrate SDK Calls**: Determine where in your agent framework's flow you will need to make calls to the SDK. This could be in response to user inputs, as part of the setup, or during the processing of data. 5. **Handle Responses and Errors**: Implement error handling for SDK calls and ensure that responses are processed correctly, updating the agent's state or replying to the user as needed. 6. **Test Thoroughly**: Test the integration in various scenarios to ensure that the SDK functions as expected within the agent framework. This includes unit tests, integration tests, and end-to-end tests. 7. **Monitor and Update**: After deployment, monitor the performance of the integration and update the SDK as new versions are released to take advantage of improvements and bug fixes. 8. **Follow Best Practices**: Adhere to best practices for both the SDK and the agent framework, such as keeping your code clean, documenting the integration, and following security guidelines. If you have any specific questions about integrating a particular SDK with an agent framework, please provide more details so I can assist you further.

Hey @DankKnight can you be more clear here around, what help do you require?

Hi @Shubham Bajaj , I'm developing an agent framework(langgraph/other options) that integrates voice capabilities(vapi), but I'm unsure about the best approach to configure voice interactions between both. Specifically, I'd like to know if: 1. Configuration via SDK: Is it possible to configure voice interactions programmatically using the VAPI SDK? 2. Integration with Language Models: How can I integrate language models like LangChain or LangGraph with VAPI to enhance voice interactions? So far the only approach I see is tools via REST and that is limited to only dashboard to setup. Any insights or suggestions would be greatly appreciated.

1. Yes you can get it done using SDKs 2. Use Custom LLM https://docs.vapi.ai/customization/custom-llm/using-your-server

Thanks @Shubham Bajaj , i'll check out