Scrydon
DeploymentPrerequisites

AI Provider

AI provider prerequisites for Scrydon features

Scrydon ships no models of its own. Every AI feature — Cortex chat, agentic workflows, the analytics assistant, and knowledge extraction — runs against an external LLM, so you must connect at least one AI provider before any AI-backed feature works. Until an AI integration is enabled, the model picker is empty and those features return a "no provider configured" error.

Bring an account and API credentials with one of the supported providers:

ProviderNotes
OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, MistralHosted APIs. Supply an API key, or cloud credential for Azure/Bedrock.
Ollama, self-hosted vLLMRun models inside your own cluster. Needs GPU nodes; see Resources.

There is nothing to configure at install time. Once the platform is up, an org admin enables a provider under Settings → Integrations. See the integration catalog for the full list of vendors and models. A search integration such as Exa, Linkup, or Perplexity is also worth adding if you want agents to look things up.

Egress: hosted providers are reached over the public internet. On an egress-restricted or air-gapped cluster, allowlist the provider's API host or run a local model. See Air-Gapped Deployment.

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