terraform/provider/README.md
This Terraform provider allows you to manage LiteLLM resources through Infrastructure as Code. It provides support for managing models, teams, team members, and API keys via the LiteLLM REST API.
This directory (terraform/provider/ in BerriAI/litellm) is the source of truth for the provider. BerriAI/terraform-provider-litellm is a thin release mirror that the public Terraform Registry ingests from; do not open PRs there. Changes land here, where CI builds the provider, runs its tests, and statically audits every endpoint the provider calls against the proxy's generated OpenAPI schema (tools/endpointaudit/), so the provider cannot drift from the LiteLLM API silently. Releases are published by mirroring this directory into the split repo and tagging it, which triggers the goreleaser workflow there (see RELEASING.md)
To use the LiteLLM provider in your Terraform configuration, you need to declare it in the <code>terraform</code> block:
terraform {
required_providers {
litellm = {
source = "BerriAI/litellm"
version = "~> 0.1.1" #HERE UPDATE VERSION ACCORDINGLY
}
}
}
provider "litellm" {
api_base = var.litellm_api_base
api_key = var.litellm_api_key
}
Then, you can use the provider to manage LiteLLM resources. Here's an example of creating a model configuration:
resource "litellm_model" "gpt4" {
model_name = "gpt-4-proxy"
custom_llm_provider = "openai"
model_api_key = var.openai_api_key
model_api_base = "https://api.openai.com/v1"
base_model = "gpt-4"
tier = "paid"
mode = "chat"
reasoning_effort = "medium" # Optional: "low", "medium", or "high"
input_cost_per_million_tokens = 30.0
output_cost_per_million_tokens = 60.0
}
For full details on the <code>litellm_model</code> resource, see the model resource documentation.
Here's an example of creating an API key with various options:
resource "litellm_key" "example_key" {
models = ["gpt-4", "claude-3.5-sonnet"]
max_budget = 100.0
user_id = "user123"
team_id = "team456"
max_parallel_requests = 5
tpm_limit = 1000
rpm_limit = 60
budget_duration = "monthly"
key_alias = "prod-key-1"
duration = "30d"
metadata = {
environment = "production"
}
allowed_cache_controls = ["no-cache", "max-age=3600"]
soft_budget = 80.0
aliases = {
"gpt-4" = "gpt4"
}
config = {
default_model = "gpt-4"
}
permissions = {
can_create_keys = "true"
}
model_max_budget = {
"gpt-4" = 50.0
}
model_rpm_limit = {
"claude-3.5-sonnet" = 30
}
model_tpm_limit = {
"gpt-4" = 500
}
guardrails = ["content_filter", "token_limit"]
blocked = false
tags = ["production", "api"]
}
The <code>litellm_key</code> resource supports the following options:
For full details on the <code>litellm_key</code> resource, see the key resource documentation.
The project is organized as follows:
terraform-provider-litellm/
├── litellm/
│ ├── provider.go
│ ├── resource_model.go
│ ├── resource_model_crud.go
│ ├── resource_team.go
│ ├── resource_team_member.go
│ ├── resource_key.go
│ ├── resource_key_utils.go
│ ├── types.go
│ └── utils.go
├── main.go
├── go.mod
├── go.sum
├── Makefile
└── ...
git clone https://github.com/your-username/terraform-provider-litellm.git
cd terraform-provider-litellm
make install
The Makefile provides several useful commands for development:
make build: Builds the providermake install: Builds and installs the providermake test: Runs the test suitemake fmt: Formats the codemake vet: Runs go vetmake lint: Runs golangci-lintmake clean: Removes build artifacts and installed providerTo run the tests:
make test
Contributions are welcome! Please read our contributing guidelines first.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
docs/ directory for detailed usage examples and configuration options.aws_session_name and aws_role_name parameters in the model resource.