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5 results found

  1. Feature Request: Add Thinking Budget Support to Firebase AI

    Please add support for a thinking_budget parameter when using Firebase AI (Vertex AI) through Firebase. This would allow developers to control token usage, reasoning depth, and overall latency more precisely. It enables better cost management, improves response time consistency, and ensures a smoother experience in streaming and large-scale applications.

    9 votes

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    1 comment  ·  Firebase AI Logic  ·  Admin →
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  2. Grounding

    Enable VertexAI web access for googleSearchRetrieval() and Grounding to work on the FirebaseVertexAI.

    16 votes

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    1 comment  ·  Firebase AI Logic  ·  Admin →
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  3. Vertex AI only for authenticated users

    Currently, App Check is the only mechanism to control access to the Vertex API. This is not always practical and does not allow per-user access control.
    Please add a mechanism similar to Security Rules for Firestore, to enforce only authenticated Firebase users to access the AI APIs.

    11 votes

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    1 comment  ·  Firebase AI Logic  ·  Admin →
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  4. Train A Model Through API

    I don't know if this is already exisiting but i think it should be possible to train a custom model through the vertex AI API for firebase.

    5 votes

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    0 comments  ·  Firebase AI Logic  ·  Admin →
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  5. Automated Function Calling for Kotlin

    Allow the SDK to call automatically the functions that the model requires before to proceed with the prompt

    3 votes

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    0 comments  ·  Firebase AI Logic  ·  Admin →
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