# LiteLLM Model Configuration
# Copy this file to models.yaml and customize for your environment.
#
# Usage:
#   cp litellm/models.example.yaml litellm/models.yaml
#   # Edit models.yaml to add/remove models
#   just litellm::install
#
# API keys are stored in Vault and injected as environment variables.
# Use: just litellm::set-api-key provider=<provider>
#
# Supported providers:
#   - anthropic: Claude models (Opus, Sonnet, Haiku)
#   - openai: GPT and o-series models
#   - ollama: Local models (no API key required)
#   - azure: Azure OpenAI
#   - bedrock: AWS Bedrock
#   - vertexai: Google Vertex AI
#   - mistral: Mistral AI
#   - groq: Groq (fast inference)
#   - cohere: Cohere

# Anthropic Claude (https://docs.anthropic.com/en/docs/about-claude/models/overview)
- model_name: claude-sonnet
  litellm_params:
    model: anthropic/claude-sonnet-4-20250514
    api_key: os.environ/ANTHROPIC_API_KEY

- model_name: claude-haiku
  litellm_params:
    model: anthropic/claude-haiku-4-20251015
    api_key: os.environ/ANTHROPIC_API_KEY

# - model_name: claude-opus
#   litellm_params:
#     model: anthropic/claude-opus-4-20250514
#     api_key: os.environ/ANTHROPIC_API_KEY

# OpenAI (https://platform.openai.com/docs/models)
# - model_name: gpt-4o
#   litellm_params:
#     model: openai/gpt-4o
#     api_key: os.environ/OPENAI_API_KEY

# - model_name: gpt-4o-mini
#   litellm_params:
#     model: openai/gpt-4o-mini
#     api_key: os.environ/OPENAI_API_KEY

# - model_name: o3
#   litellm_params:
#     model: openai/o3
#     api_key: os.environ/OPENAI_API_KEY

# - model_name: o4-mini
#   litellm_params:
#     model: openai/o4-mini
#     api_key: os.environ/OPENAI_API_KEY

# Ollama (local models - no API key required)
# - model_name: llama4-scout
#   litellm_params:
#     model: ollama/llama4:scout
#     api_base: http://ollama.ollama:11434

# - model_name: qwen3
#   litellm_params:
#     model: ollama/qwen3:8b
#     api_base: http://ollama.ollama:11434

# - model_name: deepseek-r1
#   litellm_params:
#     model: ollama/deepseek-r1:8b
#     api_base: http://ollama.ollama:11434

# Mistral AI (https://docs.mistral.ai/getting-started/models/models_overview/)
# - model_name: mistral-large
#   litellm_params:
#     model: mistral/mistral-large-latest
#     api_key: os.environ/MISTRAL_API_KEY

# - model_name: ministral-8b
#   litellm_params:
#     model: mistral/ministral-8b-latest
#     api_key: os.environ/MISTRAL_API_KEY

# - model_name: codestral
#   litellm_params:
#     model: mistral/codestral-latest
#     api_key: os.environ/MISTRAL_API_KEY

# Groq (fast inference - https://console.groq.com/docs/models)
# - model_name: groq-llama4-scout
#   litellm_params:
#     model: groq/meta-llama/llama-4-scout-17b-16e-instruct
#     api_key: os.environ/GROQ_API_KEY

# - model_name: groq-llama3.3
#   litellm_params:
#     model: groq/llama-3.3-70b-versatile
#     api_key: os.environ/GROQ_API_KEY

# - model_name: groq-llama3.1
#   litellm_params:
#     model: groq/llama-3.1-8b-instant
#     api_key: os.environ/GROQ_API_KEY