litellm/terraform/provider/CHANGELOG.md

Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Fixed

• organization: Send PATCH instead of POST to /organization/update and /organization/member_update, matching the methods the LiteLLM proxy serves; organization and organization member updates previously failed with a 405

Changed

• The provider source of truth moved to terraform/provider/ in BerriAI/litellm; this repository is now a release mirror. CI in the monorepo statically audits every endpoint the provider calls against the proxy's OpenAPI schema on every change

[0.2.2] - 2026-05-13

Fixed

• key: Include tags in UpdateKey payload so tag changes on an existing litellm_key are applied on update instead of being silently dropped (#41)

[0.2.1] - 2026-04-13

Fixed

• team, organization: Use pointer types for tpm_limit, rpm_limit, and max_budget to prevent zero-value diffs on every terraform plan when these fields are not configured (#31)

[0.2.0] - 2026-04-03

⚠️ Breaking Changes

litellm_key: API keys are no longer stored in Terraform state

Why this change? Storing raw API keys in Terraform state is a security risk — state files are often stored in S3, Terraform Cloud, or other backends where the key could be exposed even with encryption at rest. This release eliminates that risk entirely.

What changed:

• The key attribute is now write-only — available during terraform apply so you can pipe it to a secrets manager, but never persisted to state
• The resource ID has changed from the raw key value to its SHA-256 hash (token_id) — safe to store in state, cannot be used to authenticate
• Requires Terraform 1.11+

Migration steps for existing litellm_key resources:

1. Find the token_id for each key via the LiteLLM UI or GET /key/info?key=<your-key>
2. Remove the old resource from state:

   terraform state rm litellm_key.example
   

3. Re-import using the token_id:

   terraform import litellm_key.example <token_id>
   

⚠️ After upgrading, you cannot retrieve the raw key from state. Make sure you have the key value stored somewhere safe before migrating, or plan to rotate the key after re-import.

Security best practice: Since the key is only available during the initial terraform apply, pipe it directly to a secrets manager:

resource "aws_ssm_parameter" "litellm_key" {
  name  = "/myapp/litellm-key"
  type  = "SecureString"
  value = litellm_key.example.key
}

Fixed

• key: API key is no longer stored in Terraform state. The key attribute is now write-only and token_id is used as the resource ID (#27)
• model: Handle eventual consistency in model reads post-create (#26)

[0.1.2] - 2026-02-17

Added

• Documentation: Added RELEASING.md with comprehensive release process documentation
  • GPG key setup instructions
  • Step-by-step release workflow
  • Troubleshooting guide
  • Security best practices

[0.1.1] - 2026-02-11

Added

• New Model Modes: Added support for audio_speech and rerank model modes
  • audio_speech: For text-to-speech models (e.g., Gemini TTS, OpenAI TTS)
  • rerank: For reranking/semantic ranking models (e.g., Cohere Rerank, Vertex AI Semantic Ranker)

Fixed

• Implemented exponential backoff for credential reads
• Only include cost fields when explicitly set in model resource
• Added litellm_credential_name support

[0.3.14] - 2025-08-24

Added

• Enhanced JSON Parsing: Added support for JSON string parsing in additional_litellm_params
  • JSON objects and arrays (starting with { or [) are now automatically parsed
  • Maintains backward compatibility with existing string-to-type conversion
  • Enables complex nested parameter configurations
• Parameter Dropping Feature: Added additional_drop_params special parameter
  • Allows removal of unwanted parameters from final litellm_params before API submission
  • Specified as JSON array string: "additional_drop_params" = "[\"reasoningEffort\"]"
  • Useful for overriding or removing built-in parameters when needed
• Enhanced Examples: Updated examples/model_additional_params.tf with comprehensive JSON parsing examples
  • Demonstrates all supported value types (boolean, integer, float, string, JSON objects/arrays)
  • Includes real-world Azure model configuration with parameter dropping
  • Shows both simple and complex use cases

Changed

• Documentation Enhancement: Updated docs/resources/model.md with detailed JSON parsing documentation
  • Added comprehensive explanation of conversion rules and behavior
  • Included special additional_drop_params parameter documentation
  • Enhanced examples showing all supported parameter types and JSON parsing capabilities

Technical Details

• Enhanced parameter processing logic in createOrUpdateModel() function
• Added JSON detection and parsing for string values starting with [ or {
• Implemented parameter filtering system for additional_drop_params
• Maintains full backward compatibility with existing configurations

[0.3.13] - 2025-08-24

Changed

• Documentation: Performed a documentation audit and improvements across resources and data-sources. Added missing argument references, clarified types/defaults, documented implementation behaviors (e.g., additional_litellm_params parsing and state-preservation), and added an examples/ directory with runnable HCL examples (starting with examples/model_additional_params.tf).
• Docs: Updated docs/resources/model.md with missing fields (vertex_*, pixel/second cost fields, and additional_litellm_params) and added conversion rules and an example.
• Docs Index: Added references to the new examples/ directory in docs/index.md.

[0.3.12] - 2025-08-13

Added

• New AWS Parameters: Added aws_session_name and aws_role_name to model resource for cross-account access scenarios
  • Support for AWS session names in cross-account access configurations
  • Support for AWS IAM role names for cross-account access
  • Enhanced AWS Bedrock integration capabilities

Changed

• Documentation Overhaul: Comprehensive update to all provider documentation
  • Updated provider source references from bitop/litellm to registry.terraform.io/ncecere/litellm
  • Consolidated all scattered example files into organized documentation structure
  • Enhanced all resource documentation with multiple real-world examples
  • Added comprehensive cross-resource integration examples
• Vector Store Documentation: Updated to reflect only officially supported LiteLLM providers
  • Removed unsupported providers (Pinecone, Weaviate, Chroma, Qdrant, Milvus, FAISS)
  • Added accurate examples for supported providers: AWS Bedrock Knowledge Bases, OpenAI Vector Stores, Azure Vector Stores, Vertex AI RAG Engine, PG Vector
  • Updated provider-specific parameters with correct configurations
  • Added references to official LiteLLM documentation
• Project Organization: Cleaned up project structure
  • Removed scattered example files from root directory
  • Consolidated all examples into comprehensive documentation
  • Updated README.md to reflect current capabilities and structure

Fixed

• Corrected vector store provider documentation to match LiteLLM's official capabilities
• Updated all documentation links and references for accuracy

[0.3.11] - 2025-08-10

Added

• New Resource: litellm_credential - Manage credentials for secure authentication
  • Support for storing sensitive credential values (API keys, tokens, etc.)
  • Non-sensitive credential information storage
  • Model ID association for credentials
  • Secure handling of sensitive data with Terraform's sensitive attribute
• New Resource: litellm_vector_store - Manage vector stores for embeddings and RAG
  • Support for multiple vector store providers (Pinecone, Weaviate, Chroma, Qdrant, etc.)
  • Integration with credential management for secure authentication
  • Configurable metadata and provider-specific parameters
  • Full CRUD operations for vector store lifecycle management
• New Data Source: litellm_credential - Retrieve information about existing credentials
  • Read-only access to credential metadata (sensitive values excluded for security)
  • Support for model ID filtering
  • Cross-stack and cross-configuration referencing capabilities
• New Data Source: litellm_vector_store - Retrieve information about existing vector stores
  • Complete vector store information retrieval
  • Support for monitoring, validation, and cross-referencing use cases
  • Metadata-based conditional logic support
• Enhanced API response handling for credential and vector store operations
• Comprehensive documentation and examples for new resources and data sources
• Example Terraform configurations for common use cases

Changed

• Extended utils.go with specialized API response handlers for credentials and vector stores
• Updated provider configuration to include new resources and data sources
• Enhanced error handling for credential and vector store not found scenarios

[0.3.10] - 2025-08-10

Added

• New Resource: litellm_mcp_server - Manage MCP (Model Context Protocol) servers
  • Support for HTTP, SSE, and stdio transport types
  • Configurable authentication types (none, bearer, basic)
  • MCP access groups for permission management
  • Cost tracking configuration for MCP tools
  • Environment variables and command arguments for stdio transport
  • Health check status monitoring
  • Comprehensive documentation and examples

Changed

• Updated provider to support MCP server management functionality
• Enhanced API response handling for MCP-specific operations

[0.3.9] - 2025-08-10

Fixed

• Fixed issue where omitting budget_duration in key resource caused API error "Invalid duration format"
• Added missing omitempty JSON tag to BudgetDuration field in Key struct to prevent sending empty strings to API

[0.3.8] - 2025-08-08

Added

• Added additional_litellm_params field to model resource for custom parameters beyond standard ones
• Support for passing custom parameters like drop_params, timeout, max_retries, organization, etc.
• Automatic type conversion for string values to appropriate types (boolean, integer, float)
• Full backward compatibility with existing model configurations
• Comprehensive example demonstrating various use cases with different providers

[0.3.7] - 2025-08-08

Fixed

• Fixed issue where changing max_budget_in_team didn't update existing team members with new budget
• Added budget change detection using d.HasChange to update ALL existing members when budget changes
• Implemented tracking to avoid duplicate API calls for members already updated
• Enhanced debug logging for budget update operations

[0.3.6] - 2025-08-08

Fixed

• Fixed issue where models deleted from LiteLLM proxy caused terraform plan to fail instead of planning recreation
• Enhanced ErrorResponse struct to properly parse LiteLLM proxy error format with Detail field
• Improved isModelNotFoundError function to detect "not found on litellm proxy" messages in Detail.Error field

[0.3.5] - 2025-08-08

Fixed

• Fixed team member update behavior to use member_update endpoint instead of delete/re-add
• Restored team_member_permissions functionality to litellm_team resource
• Enhanced team resource with proper permissions management endpoints

[0.3.0] - 2025-04-23

Fixed

• Implemented retry mechanism with exponential backoff for model read operations
• Added detailed logging for retry attempts
• Improved error handling for "model not found" errors

[0.2.9] - 2025-04-23

Fixed

• Increased delay after model creation from 2 to 5 seconds to fix "model not found" errors
• Added logging to confirm delay is working properly

[0.2.8] - 2025-04-23

Fixed

• Added delay after model creation to fix "model not found" errors when the LiteLLM proxy hasn't fully registered the model yet

[0.2.7] - 2025-04-23

Fixed

• Fixed issue where thinking_enabled and merge_reasoning_content_in_choices values were not being preserved in state, causing Terraform to want to modify them on every run

[0.2.6] - 2025-03-13

Added

• Added new merge_reasoning_content_in_choices option to model resource

[0.2.5] - 2025-03-13

Fixed

• Fixed issue where thinking_budget_tokens was being added to models that don't have thinking_enabled = true

[0.2.4] - 2025-03-13

Added

• Added new thinking capability to model resource with configurable parameters:
  • thinking_enabled - Boolean to enable/disable thinking capability (default: false)
  • thinking_budget_tokens - Integer to set token budget for thinking (default: 1024)

[0.2.2] - 2025-02-06

Added

• Added new reasoning_effort parameter to model resource with values: "low", "medium", "high"
• Added "chat" mode to model resource

Changed

• Updated model mode options to: "completion", "embedding", "image_generation", "chat", "moderation", "audio_transcription"

[1.0.0] - 2024-01-17

Added

• Initial release of the LiteLLM Terraform Provider
• Support for managing LiteLLM models
• Support for managing teams and team members
• Comprehensive documentation for all resources