Nous.Model (nous v0.9.0)

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Model configuration for LLM providers.

This module defines the model configuration structure used by all model adapters to connect to various LLM providers.

Example

model = Model.new(:openai, "gpt-4",
  api_key: "sk-...",
  default_settings: %{temperature: 0.7}
)

Summary

Types

provider()
t()

Functions

new(provider, model, opts \\ [])

Create a new model configuration.

parse(model_string, opts \\ [])

Parse a model string into a Model struct.

Types

provider()

@type provider() ::
  :openai
  | :anthropic
  | :gemini
  | :groq
  | :ollama
  | :lmstudio
  | :openrouter
  | :together
  | :vllm
  | :sglang
  | :mistral
  | :custom

t()

@type t() :: %Nous.Model{
  api_key: String.t() | nil,
  base_url: String.t() | nil,
  default_settings: map(),
  model: String.t(),
  organization: String.t() | nil,
  provider: provider(),
  receive_timeout: non_neg_integer(),
  stream_normalizer: module() | nil
}

Functions

new(provider, model, opts \\ [])

@spec new(provider(), String.t(), keyword()) :: t()

Create a new model configuration.

Parameters

  • provider - Provider atom (:openai, :groq, :ollama, etc.)
  • model - Model name string
  • opts - Optional configuration

Options

  • :base_url - Custom API base URL
  • :api_key - API key (defaults to environment config)
  • :organization - Organization ID (for OpenAI)
  • :receive_timeout - HTTP receive timeout in milliseconds (default: 60000). Increase this for local models that may take longer to respond.
  • :default_settings - Default model settings (temperature, max_tokens, etc.)
  • :stream_normalizer - Custom stream normalizer module implementing Nous.StreamNormalizer behaviour

Example

model = Model.new(:openai, "gpt-4",
  api_key: "sk-...",
  default_settings: %{temperature: 0.7, max_tokens: 1000}
)

# For slow local models, increase the timeout
model = Model.new(:lmstudio, "qwen/qwen3-4b",
  receive_timeout: 120_000  # 2 minutes
)

parse(model_string, opts \\ [])

@spec parse(
  String.t(),
  keyword()
) :: t()

Parse a model string into a Model struct.

Supports the format "provider:model-name" for convenient model specification.

Supported Formats

  • "openai:gpt-4" - OpenAI models
  • "anthropic:claude-3-5-sonnet-20241022" - Anthropic Claude
  • "gemini:gemini-1.5-pro" - Google Gemini
  • "groq:llama-3.1-70b-versatile" - Groq models
  • "mistral:mistral-large-latest" - Mistral models
  • "ollama:llama2" - Local Ollama
  • "lmstudio:qwen3-vl-4b-thinking-mlx" - Local LM Studio
  • "vllm:qwen3-vl-4b-thinking-mlx" - vLLM server
  • "sglang:meta-llama/Llama-3-8B" - SGLang server
  • "openrouter:anthropic/claude-3.5-sonnet" - OpenRouter
  • "together:meta-llama/Llama-3-70b-chat-hf" - Together AI
  • "custom:my-model" - Custom endpoint (requires :base_url option)

Examples

iex> %Model{provider: provider, model: model} = Model.parse("openai:gpt-4")
iex> {provider, model}
{:openai, "gpt-4"}

iex> %Model{provider: provider, model: model} = Model.parse("ollama:llama2")
iex> {provider, model}
{:ollama, "llama2"}

iex> model = Model.parse("custom:my-model", base_url: "http://localhost:8080/v1")
iex> {model.provider, model.model, model.base_url}
{:custom, "my-model", "http://localhost:8080/v1"}