mirror of
https://github.com/BerriAI/litellm.git
synced 2026-09-09 22:31:41 +00:00
* feat(terraform): close key/team schema gaps, fix team read envelope, add import support * feat(terraform): add fallback resource/data source and key/team block resources * feat(terraform): add access group and unified access group resources and data sources * feat(terraform): add guardrail and prompt resources and data sources * feat(terraform): add agent and search tool resources and data sources * feat(terraform): add user and budget resources and data sources * feat(terraform): add tag and project resources and data sources * docs(terraform): changelog and readme for parity additions * feat(terraform): add data sources for keys, teams, models, organizations, and mcp servers * fix(terraform): key update 400 on empty budget_duration, key info envelope, config-supplied key * fix(terraform): hash raw keys to SHA-256 tokens in key lookup URLs and block resource IDs
1.9 KiB
1.9 KiB
litellm_guardrail Resource
Manages a guardrail in LiteLLM. Guardrails provide content filtering, PII detection, prompt injection protection, and more.
Example Usage
resource "litellm_guardrail" "bedrock_guard" {
guardrail_name = "my-bedrock-guard"
guardrail = "bedrock"
mode = "pre_call"
default_on = true
litellm_params = jsonencode({
guardrailIdentifier = "ff6ujrregl1q"
guardrailVersion = "DRAFT"
})
guardrail_info = {
description = "Bedrock content moderation guardrail"
}
}
Multiple Modes
resource "litellm_guardrail" "pii_guard" {
guardrail_name = "presidio-pii"
guardrail = "presidio"
mode = jsonencode(["pre_call", "post_call"])
}
Argument Reference
guardrail_name- (Required) Human-readable name for the guardrail.guardrail- (Required) The guardrail integration type (e.g.bedrock,lakera,presidio,openai_moderation,hide_secrets).mode- (Required) When to apply the guardrail. A single value (pre_call,post_call,during_call,logging_only) or a JSON array of values.default_on- (Optional) Whether the guardrail is enabled by default for all requests.litellm_params- (Optional, Sensitive) JSON string with additional provider-specific parameters merged intolitellm_params(may contain API keys). The API masks these values, so the configured value stays authoritative in state.guardrail_info- (Optional) Map of additional metadata for the guardrail.
Attribute Reference
id- The guardrail ID assigned by LiteLLM.created_at- Timestamp when the guardrail was created.
Import
Guardrails can be imported using the guardrail ID:
terraform import litellm_guardrail.example 123e4567-e89b-12d3-a456-426614174000
Note: guardrail, mode, default_on and litellm_params are not returned unmasked by the API, so after import you must set them in configuration to match the server.