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* 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
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| page_title | subcategory | description |
|---|---|---|
| litellm_model Data Source - terraform-provider-litellm | Retrieves information about a model deployment on the LiteLLM proxy. |
litellm_model (Data Source)
Retrieves information about a single model deployment via /v1/model/info. Sensitive litellm_params fields (API keys and other credentials) are never exposed; only safe routing metadata is exported.
Example Usage
data "litellm_model" "gpt4o" {
model_id = "0e5x74fab24a7a5245d2ced3536dd8f5"
}
output "gpt4o_provider" {
value = data.litellm_model.gpt4o.custom_llm_provider
}
Argument Reference
The following arguments are supported:
model_id- (Required) LiteLLM model ID (thex-litellm-model-idresponse header value).
Attributes Reference
In addition to all arguments above, the following attributes are exported:
model_name- Public model name used for routing.model- The underlyinglitellm_paramsmodel, e.g.openai/gpt-4o.custom_llm_provider- Provider for the model.model_api_base- API base URL, if configured.api_version- API version, if configured.tpm- Tokens per minute limit for the deployment.rpm- Requests per minute limit for the deployment.base_model- Base model used for pricing and capabilities.tier- Model tier (freeorpaid).mode- Model mode, e.g.chatorembedding.team_id- Team the deployment is scoped to, if any.db_model- Whether the deployment is stored in the database (as opposed to config).
Security Note
Credential material inside litellm_params (such as api_key, aws_secret_access_key, and vertex_credentials) is never exported by this data source.