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By default, the Datafold Migration Agent runs on Datafold-managed model infrastructure. With an LLM Provider integration, your organization can instead bring its own inference provider — your API keys, your endpoints, your cloud account — and the Datafold Migration Agent and Datafold Assistant run through it.
NOTETo set up an LLM Provider, navigate to Settings → Integrations and click Add New Integration. LLM Provider integrations are managed by organization admins.

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How it works

  • Register a provider with its endpoint and credentials, and select which models to expose. For most providers, Datafold fetches the available model list automatically once credentials are entered.
  • Models appear in Datafold’s model pickers, labeled with the integration name.
  • Credentials are resolved at request time. Editing an integration’s key or endpoint takes effect on the next request.
  • Credentials are encrypted at rest and never returned by the API — secret fields are masked on read and kept unchanged when a masked value is re-submitted.
  • Costs are tracked automatically. Datafold tracks token usage and estimated spend per model.

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Supported providers

OpenAI-compatible (universal)

OpenAI

Anthropic

Google Gemini

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Databricks

Snowflake Cortex

Anything that speaks the OpenAI /chat/completions protocol — Together, Fireworks, Groq, OpenRouter, Mistral, vLLM, LM Studio, Ollama, and most other inference services — works through the universal OpenAI-compatible provider.

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Common configuration

Every provider shares a few fields:

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Model quality matters

Small models, or models without tool calling, perform poorly with the Datafold Migration Agent. We recommend frontier-class models (Claude Sonnet/Opus, GPT-5 family, Gemini Pro/Flash, Mistral Large).