Advanced Usage FAQs

Yes! You can select which language model powers each agent in Abundly.

To configure: Go to your Agent settings and choose from providers like Anthropic Claude, OpenAI GPT, or Google Gemini.

Quick tips:

• Use (no preference) to let Abundly auto-select the best model for you
• Choose model aliases (e.g., "Claude Sonnet Latest") for automatic upgrades
• Pick specific versions when you need full control and consistency

For the full list of available models, thinking token options, and use-case recommendations, see our Model Selection documentation.

Before running large batch operations, follow this checklist to prevent interruptions:

Pre-operation Checklist:

1. Calculate credit needs – Estimate 25-50 credits per item (e.g., 3,500 items ≈ 87,500-175,000 credits)
2. Top up credits – Ensure sufficient balance before starting
3. Plan for interruptions – Know which items are completed vs. incomplete in case you need to resume

For detailed guidance on cost calculations and optimization strategies, see our Agent Optimization Guide.

Need help estimating credits? Contact support@abundly.ai.

Chat conversations are stored in our MongoDB database hosted in Stockholm, Sweden (EU). You have full control—delete a conversation anytime and it's permanently removed.

For details on data residency, encryption, and compliance, see our Infrastructure documentation.

It depends on the source. Agent documents (created in Abundly) are stored in EU data centers in Stockholm. External documents (Google Drive, SharePoint, etc.) remain on their original provider's servers—the agent accesses them through your permission but doesn't copy them.

For more details, see our Documents documentation.

All customer data is stored in EU data centers in Stockholm, Sweden (database on AWS eu-north-1, services on GCP europe-north2). Static files are served via CDN.

For full details on infrastructure, encryption, and compliance, see our Infrastructure documentation.