i'm trying to create an agent that on top of the knowledge base, will have the ability to have injected context before the chat session starts with the user. User flow: uploads file (additional context needed for session) --> clicks start --> session begins

@Suri That sounds like a great feature to enhance the user experience by providing personalized interactions based on the additional context. To implement this, you would typically need to: 1. Develop a file upload mechanism that securely accepts and stores the user's file. 2. Process and extract relevant information from the uploaded file to use as context. 3. Initiate the chat session with the ability to reference the extracted context during the conversation. For the file upload, you would need to ensure that your system can handle the file types you expect users to upload and that you have the necessary security measures in place to protect the data. Once the file is uploaded and processed, the extracted context can be stored in a session-specific variable or database entry that the agent can access when the session starts. If you need assistance with specific parts of this process or have any questions about how to integrate these features with VAPI, please let me know, and I'd be happy to help!

how do i do number 3 @Vapi

@Suri To initiate a chat session with the ability to reference the extracted context from the uploaded file, you would typically follow these steps: 1. **Context Storage**: After processing the uploaded file, store the extracted context in a place where it can be easily retrieved during the chat session. This could be a database, in-memory storage, or any other form of persistent storage that your chat system can access. 2. **Session Management**: Implement session management to keep track of each user's conversation. When a user starts a chat session, create a unique session identifier that can be used to retrieve the correct context. 3. **Context Injection**: When the chat session begins, retrieve the stored context using the session identifier and inject it into the chat environment. This will allow your agent to use the context during the conversation. 4. **Agent Design**: Design your agent to understand and utilize the context. This may involve natural language understanding (NLU) components that can interpret the context and adjust the conversation flow accordingly. 5. **API Integration**: If you're using VAPI or another voice API, ensure that your system can send the context to the API when initializing the session. The API should be designed to accept additional context parameters. 6. **Testing**: Before going live, thoroughly test the system to ensure that the context is correctly applied and that the agent behaves as expected with the additional information. If you need more detailed guidance on any of these steps or if you have specific questions about integrating with VAPI, please let me know, and I'll be happy to assist further!

@Vapi youre gonna need to be more specific with a workflow for me so i can tell my coding assistant what to do

@Suri As of now KB is not working because our vendor has stopped their services, and we are working on integrating other providers. So, wait for this week, Because once you upload the file, the files goes for emebedding which takes some time (few seconds) after that file is made ready to use. Thus, to get the correct solution revolving around KB I suggest waiting for this week.