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    <title>topic Re: Gemini though Mosaic Gateway in Machine Learning</title>
    <link>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/112185#M3987</link>
    <description>&lt;P&gt;With support from a helpful Databricks employee, we found out that the problem was that the `&lt;SPAN&gt;private_key` / `private_key_plaintext`&amp;nbsp;&lt;/SPAN&gt;field needs to be the &lt;STRONG&gt;entire JSON object&lt;/STRONG&gt; that GCP creates for the service account not just the private key string from it as the documentation lead us to believe&lt;/P&gt;</description>
    <pubDate>Mon, 10 Mar 2025 17:04:48 GMT</pubDate>
    <dc:creator>sam-p</dc:creator>
    <dc:date>2025-03-10T17:04:48Z</dc:date>
    <item>
      <title>Gemini though Mosaic Gateway</title>
      <link>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/95372#M3737</link>
      <description>&lt;P&gt;I am trying to configure the Gemini Vertex API in Databricks. In simple Python code, everything works fine, which indicates that I have correctly set up the API and credentials.&amp;nbsp;&lt;BR /&gt;&lt;BR /&gt;Error message:&amp;nbsp;&lt;BR /&gt;&lt;SPAN&gt;{"error_code":"INVALID_PARAMETER_VALUE","message":"INVALID_PARAMETER_VALUE: Failed to generate access token for Google VertexAI. Please check the private key for the external model gemini-pro."}&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;I tried using different model names, but I didn't have any luck.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 21 Oct 2024 20:11:49 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/95372#M3737</guid>
      <dc:creator>roman_belkin</dc:creator>
      <dc:date>2024-10-21T20:11:49Z</dc:date>
    </item>
    <item>
      <title>Re: Gemini though Mosaic Gateway</title>
      <link>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/99396#M3798</link>
      <description>&lt;P&gt;have you solved this problem? i am still running into the same issue&lt;/P&gt;</description>
      <pubDate>Tue, 19 Nov 2024 16:31:01 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/99396#M3798</guid>
      <dc:creator>AnthSaou_48676</dc:creator>
      <dc:date>2024-11-19T16:31:01Z</dc:date>
    </item>
    <item>
      <title>Re: Gemini though Mosaic Gateway</title>
      <link>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/99425#M3799</link>
      <description>&lt;P&gt;No, it seems they gave up&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 19 Nov 2024 19:21:49 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/99425#M3799</guid>
      <dc:creator>roman_belkin</dc:creator>
      <dc:date>2024-11-19T19:21:49Z</dc:date>
    </item>
    <item>
      <title>Re: Gemini though Mosaic Gateway</title>
      <link>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/112185#M3987</link>
      <description>&lt;P&gt;With support from a helpful Databricks employee, we found out that the problem was that the `&lt;SPAN&gt;private_key` / `private_key_plaintext`&amp;nbsp;&lt;/SPAN&gt;field needs to be the &lt;STRONG&gt;entire JSON object&lt;/STRONG&gt; that GCP creates for the service account not just the private key string from it as the documentation lead us to believe&lt;/P&gt;</description>
      <pubDate>Mon, 10 Mar 2025 17:04:48 GMT</pubDate>
      <guid>https://community.databricks.com/t5/machine-learning/gemini-though-mosaic-gateway/m-p/112185#M3987</guid>
      <dc:creator>sam-p</dc:creator>
      <dc:date>2025-03-10T17:04:48Z</dc:date>
    </item>
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