Add driver metadata tracking for AI Frameworks (LlamaIndexTS)

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    • Type: New Feature
    • Resolution: Unresolved
    • Priority: Major - P3
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      1. What would you like to communicate to the user about this feature?
      2. Would you like the user to see examples of the syntax and/or executable code and its output?
      3. Which versions of the driver/connector does this apply to?

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      1. What would you like to communicate to the user about this feature? 2. Would you like the user to see examples of the syntax and/or executable code and its output? 3. Which versions of the driver/connector does this apply to?
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      The AI frameworks in JS/TS do not have telemetry about their Atlas customer usage, due to restrictions on tracking already initialized mongoclients which is mostly the case in JS/TS frameworks. Now that https://github.com/mongodb/node-mongodb-native/releases/tag/v6.18.0 has the new appendMetadata API, we want to add 
      The prioritized list of AI frameworks in JS/TS where this needs to be used so we can start getting visibility into their usage by Atlas customers:

      • LangChainJS (Our langchain-mongodb (JS) integration grew 900% last quarter, from 11,000 weekly downloads in January to 110,000 in May)
      • (NODE-7073) LangGraphJS (AI Agent framework from LangChain)
      • N8N (fastest growing AI framework - just crossed 100k GitHub stars, closing in on LangChain’s Python repo. )
      • (NODE-7115) Mastra (Well known founders from the previous gatsby framework. This is gaining some traction in the Agentic workloads)
      • LlamaIndexTS 

      Further Context about AI frameworks: https://docs.google.com/document/d/14vrxlRdkuDTjbtXKCqudxHkZeQOvTFy4OXJQ6ounDz0/edit?tab=t.0#heading=h.r3xmb5fblmvh
       

            Assignee:
            Unassigned
            Reporter:
            Prakul Agarwal
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              Created:
              Updated: