Reference for the teleport_beams_config Terraform resource

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This page lists the supported values of the teleport_beams_config resource of the Teleport Terraform provider.

Example Usage

# Beams config

resource "teleport_beams_config" "example" {
  version = "v1"

  metadata = {
    name = "beams-config"
  }

  spec = {
    llm = {
      anthropic = {
        app_name = "my-anthropic"
      }
      openai = {
        app_name = "my-openai"
      }
    }
  }
}

Schema

Required

• version (String) Version is the version of the resource. Always "v1".

Optional

• metadata (Attributes) Metadata about this resource. (see below for nested schema)
• spec (Attributes) Spec defines the user-provided configuration parameters for Beams. (see below for nested schema)
• sub_kind (String) SubKind is the sub_kind of the resource. Always "".

Nested Schema for metadata

Optional:

• description (String) description is object description.
• expires (String) expires is a global expiry time header can be set on any resource in the system.
• labels (Map of String) labels is a set of labels.
• name (String) name is an object name.

Nested Schema for spec

Optional:

• llm (Attributes) Llm carries LLM inference configurations. (see below for nested schema)

Nested Schema for spec.llm

Optional:

• anthropic (Attributes) Anthropic LLM endpoint configuration. (see below for nested schema)
• openai (Attributes) OpenAI LLM endpoint configuration. (see below for nested schema)

Nested Schema for spec.llm.anthropic

Optional:

• app_name (String) AppName is the name of the Teleport app that proxies LLM requests. When empty, defaults to the Cloud-managed LLM app for this endpoint.

Nested Schema for spec.llm.openai

Optional:

• app_name (String) AppName is the name of the Teleport app that proxies LLM requests. When empty, defaults to the Cloud-managed LLM app for this endpoint.