The resource and data source links on the provider's registry docs overview page 404 when clicked. They are written as relative paths like ./resources/team, and the registry serves the overview at .../latest/docs with no trailing slash and passes hrefs through unrewritten, so the browser resolves them to .../latest/resources/team. Drops the link markup and keeps both lists and their descriptions. No relative form works in both places: only a docs/-prefixed target resolves correctly on the registry, and that same path is wrong when reading the file on GitHub. The registry sidebar already links every resource and data source for the version being read. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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LiteLLM Provider
The LiteLLM provider allows Terraform to manage LiteLLM resources. LiteLLM is a proxy service that standardizes the input/output across different LLM APIs, providing a unified interface for various language model providers.
Example Usage
terraform {
required_providers {
litellm = {
source = "registry.terraform.io/BerriAI/litellm"
}
}
}
provider "litellm" {
api_base = "https://your-litellm-proxy.com"
api_key = var.litellm_api_key
}
# Basic model configuration
resource "litellm_model" "gpt4" {
model_name = "gpt-4-proxy"
custom_llm_provider = "openai"
model_api_key = var.openai_api_key
base_model = "gpt-4"
tier = "paid"
mode = "chat"
input_cost_per_million_tokens = 30.0
output_cost_per_million_tokens = 60.0
}
# Team configuration
resource "litellm_team" "dev_team" {
team_alias = "development-team"
models = [litellm_model.gpt4.model_name]
max_budget = 100.0
}
Available Resources
The LiteLLM provider supports the following resources:
litellm_model- Manage LiteLLM model configurationslitellm_team- Manage teams and their permissionslitellm_team_member- Manage team member configurationslitellm_team_member_add- Add members to teamslitellm_key- Manage API keyslitellm_mcp_server- Manage MCP (Model Context Protocol) serverslitellm_credential- Manage credentials for various providerslitellm_vector_store- Manage vector storeslitellm_jwt_key_mapping- Map JWT claim values to virtual keys
Available Data Sources
The LiteLLM provider supports the following data sources:
litellm_credential- Retrieve credential informationlitellm_vector_store- Retrieve vector store information
Authentication
The LiteLLM provider requires an API key and base URL for authentication. These can be provided in the provider configuration block or via environment variables.
Environment Variables
LITELLM_API_BASE- The base URL of your LiteLLM instanceLITELLM_API_KEY- Your LiteLLM API key
Example with Environment Variables
export LITELLM_API_BASE="https://your-litellm-proxy.com"
export LITELLM_API_KEY="your-api-key"
terraform {
required_providers {
litellm = {
source = "registry.terraform.io/BerriAI/litellm"
}
}
}
# Provider will automatically use environment variables
provider "litellm" {}
Provider Arguments
The following arguments are supported in the provider block:
api_base- (Required) The base URL of your LiteLLM instance. This can also be provided via theLITELLM_API_BASEenvironment variable.api_key- (Required) The API key used to authenticate with LiteLLM. This can also be provided via theLITELLM_API_KEYenvironment variable.
Getting Started
- Install the provider by adding it to your Terraform configuration
- Configure your LiteLLM instance URL and API key
- Start creating resources like models, teams, and credentials
- Use data sources to reference existing configurations
For detailed examples and configuration options, see the individual resource and data source documentation pages.
Examples
This repository includes an examples/ directory with curated, ready-to-run HCL examples that demonstrate common and advanced usages of the provider. Examples are grouped by resource and illustrate provider-specific configuration, handling of sensitive values, and advanced options such as additional_litellm_params.
See:
examples/model_additional_params.tf— demonstrates how to useadditional_litellm_params(booleans, integers, floats, and strings).- Other example files will be added to
examples/for credentials, vector stores, and MCP servers.
You can reference these examples directly or copy snippets into your Terraform configurations for quick starts.
For detailed examples and configuration options, see the individual resource and data source documentation pages.