CARTO AI
CARTO AI adds AI capabilities across the CARTO platform. This includes AI Agents in Builder for natural-language interaction with maps, along with other AI features where supported.
Enabling CARTO AI
To enable AI capabilities in your platform, navigate to CARTO AI section within your organization's setting and toggle Enable CARTO AI.
By enabling CARTO AI, you agree to the CARTO AI terms and conditions.
Default Model
Once CARTO AI is enabled, you can select a default model that will be used across all CARTO AI features. This model is automatically applied when using or configuring AI-powered capabilities.
To set the default model:
Navigate to Settings > CARTO AI
Ensure CARTO AI is enabled
Use the Default model dropdown to select your preferred model
You can change the default model at any time. The available models in the dropdown include either CARTO-managed models or any custom models you've configured from your own AI providers.
The default model is pre-selected when configuring or using AI-powered features. However, Editor users can override this selection and choose a different model as needed.
Model Options
CARTO managed models (default)
When you enable CARTO AI, these models are available immediately:
gemini-2.5-pro: Recommended for geospatial use cases across CARTO AI, such as spatial reasoning, SQL generation, and high-accuracy insights.
gemini-2.5-flash: Faster and more cost-effective, ideal for simpler queries, exploratory prompts, and high-volume interactions.
Bring your own model
Organizations can configure their own AI models from multiple providers, giving you full control over model selection, data residency, and cost management.
Supported Providers
OpenAI
Connect directly to OpenAI's API.
Supported models: gpt-5, gpt-5-mini, gpt-4o, gpt-4o-mini
Configuration:
API Key (required): Your OpenAI API Key
Base URL (optional): Custom API endpoint URL
Anthropic
Connect directly to Anthropic's API.
Supported models: claude-sonnet-4.5, claude-haiku-4.5
Configuration:
API Key (required): Your Anthropic API Key
Google AI Studio
Connect to Google's AI Studio API.
Supported models: gemini-2.5-pro, gemini-2.5-flash
Configuration:
API Key (required): Your Google AI Studio API Key
Google Vertex AI
Connect to Gemini models via Google Cloud Platform.
Supported models: gemini-2.5-pro, gemini-2.5-flash
Configuration:
Project ID (required): Your GCP project ID
Location (required): GCP region (e.g., us-central-1)
Service Account Credentials (required): JSON credentials for a service account with Vertex AI access.
AWS Bedrock
Access Claude models through AWS infrastructure.
Supported models: claude-sonnet-4.5, claude-haiku-4.5
Configuration:
AWS Access Key ID (required)
AWS Secret Access Key (required)
AWS Region (required): e.g., us-east-1
Azure OpenAI
Access OpenAI models through Azure infrastructure.
Supported models: gpt-5, gpt-5-mini, gpt-4o, gpt-4o-mini
Configuration:
API Base (required): Your Azure OpenAI endpoint URL
API Key (required): Your Azure OpenAI API key
API Key Version (required): API version (e.g., 2025-01-01-preview)
Snowflake Cortex
Access AI models directly within your Snowflake environment
Supported models: claude-sonnet-4.5, claude-haiku-4.5, openai-gpt-5, openai-gpt-5-mini, openai-gpt-4o, openai-gpt-4o-mini
Configuration:
API Base (required): Your Snowflake Cortex endpoint.
API Keys (required): Personal Access Token (PAT)
Databricks Model Serving
Access models through Databricks serving endpoints.
Supported models: databricks-gemini-2.5-pro, databricks-gemini-2.5-flash, databricks-claude-sonnet-4.5
Configuration:
API Base (required): Your Databricks serving endpoint URL.
API Key (required): Databricks Personal Access Token
Oracle Generative AI
Access models through Oracle .
Supported models: xai.grok-4
Configuration:
OCI User OCID (required)
OCI Tenancy OCID (required)
OCI Fingerprint (required)
OCI Private Key (required)
OCI Region (required): e.g., us-ashburn-1
When you configure a custom provider, it replaces the CARTO-managed models. Only the models from your configured providers will be available when creating AI Agents.
Interested in other providers or models? We're continuously expanding our AI provider support. If you'd like to see a specific provider or model added, pleas share your feedback with us.
Managing Models
From the CARTO AI settings page, you can:
Add providers: Configure credentials for a supported provider to make its models available to the organization.
Remove providers: Disable a provider to remove its models from availability. Any models from that provider will no longer be selectable for new agents or AI features.
Set default model: Choose which model to use by default for all CARTO AI features.
View available models: See the full list of models currently available to the organization across all configured providers.
AI Features
Currently, the following AI Features are available in the CARTO platform:
AI Agents: Enable Editor users to create conversational agents that analyze and interact with maps, using available CARTO tools and MCP tools to provide insights directly in the interface.
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