Skip to main content

​
1. Overview

The Ana x Gemini integration connects the Google Gemini API to Ana, giving you natural language access to the Gemini developer platform. Once configured, Ana can list available models and their capabilities, inspect your tuned models, and manage uploaded files — all without leaving your workflow.
Connect Gemini to Ana to query and manage your Google Gemini API resources using natural language.

​
2. Prerequisites

You’ll need:
  • A Google account with access to Google AI Studio
  • A Gemini API key (free tier available)
  • A TextQL account with permission to add API connectors

​
3. Capabilities

Once configured, Ana can:
  • List the Gemini models available to your API key, including context window sizes and supported generation methods.
  • Inspect your tuned models and their training state.
  • List and manage files uploaded to the Gemini Files API.
  • Call Gemini endpoints on your behalf for content generation, embeddings, and token counting.

​
4. Setup Instructions

​
Step 1: Generate your Gemini API key

  1. Go to aistudio.google.com and sign in with your Google account.
  2. Click Get API key in the left sidebar (or go directly to aistudio.google.com/app/apikey).
  3. Click Create API key.
  4. Choose to create the key in a new or existing Google Cloud project.
  5. Copy the API key immediately and store it securely.
API keys created in Google AI Studio are scoped to a Google Cloud project. If your organization restricts API key usage, you can add application restrictions to the key in the Google Cloud console under APIs & Services → Credentials.

​
Step 2: Add Gemini as an API connector in TextQL

  1. Go to app.textql.com and sign in.
  2. In the bottom left sidebar, click Connectors > APIs and select Gemini.
  3. In the configuration panel, fill in the fields:
    • Name (e.g. Gemini)
    • API Key: paste the key copied from Step 1
  4. Click Test to verify the key, then click Save.

​
Step 3: Verify the connection

Once saved, confirm the connector is active:
  1. Click on the Gemini connector and select Test Connection at the bottom of the panel.
  • A successful setup will return Connection successful (200).
  • If the test fails, refer to the Troubleshooting section for next steps.

​
5. Usage Examples

Once configured, you can ask Ana:
  • “List the Gemini models available to my API key.”
  • “What’s the context window size for the latest Gemini Pro model?”
  • “Show me my tuned models and their current state.”
  • “What files have I uploaded to the Gemini Files API?”
  • “Count the tokens in this prompt using Gemini.”

​
6. Troubleshooting

​
7. Security Notes

  • Gemini API keys remain valid until they are manually revoked. Store them securely and rotate them if you suspect they have been exposed.
  • Consider adding restrictions to the key in the Google Cloud console to limit where it can be used.
  • Do not share API keys in email, chat, tickets, or other unsecured locations.
  • If you no longer need the integration, delete the API key in Google AI Studio and remove the connector from TextQL.
  • For more details on how Google handles API authentication, refer to the Gemini API documentation.

​
Need Help?

For further assistance, please contact support@textql.com.

​
Privacy Policy

For information about how we handle your data and protect your privacy, please review our Privacy Policy.