Enum LlmModel 

pub enum LlmModel {
    Anthropic(AnthropicModel),
    Codex(CodexModel),
    DeepSeek(DeepSeekModel),
    Gemini(GeminiModel),
    Moonshot(MoonshotModel),
    Openai(OpenaiModel),
    OpenRouter(OpenRouterModel),
    ZAi(ZAiModel),
    Bedrock(BedrockModel),
    Ollama(String),
    LlamaCpp(String),
}

A model from a specific provider

Variants

Anthropic(AnthropicModel)

Codex(CodexModel)

DeepSeek(DeepSeekModel)

Gemini(GeminiModel)

Moonshot(MoonshotModel)

Openai(OpenaiModel)

OpenRouter(OpenRouterModel)

ZAi(ZAiModel)

Bedrock(BedrockModel)

Ollama(String)

LlamaCpp(String)

Implementations

impl LlmModel

pub const ALL_REQUIRED_ENV_VARS: &[&str]

All provider API key env var names (deduplicated, static)

pub fn model_id(&self) -> Cow<'static, str>

Raw model ID (e.g. claude-opus-4-6, llama3.2)

pub fn display_name(&self) -> Cow<'static, str>

Human-readable display name (e.g. Claude Opus 4.6)

pub fn provider(&self) -> &'static str

Provider identifier (e.g. anthropic)

pub fn provider_display_name(&self) -> &'static str

Human-readable provider name (e.g. AWS Bedrock)

pub fn context_window(&self) -> Option<u32>

Context window size in tokens (None for dynamic providers)

pub fn required_env_var(&self) -> Option<&'static str>

Required env var for this model’s provider (None for local providers)

pub fn oauth_provider_id(&self) -> Option<&'static str>

OAuth provider ID if this model requires OAuth login (e.g. "codex")

pub fn reasoning_levels(&self) -> &'static [ReasoningEffort]

Reasoning levels supported by this model (empty if not a reasoning model)

pub fn supports_reasoning(&self) -> bool

Whether this model supports reasoning/extended thinking

pub fn supports_image(&self) -> bool

Whether this model supports image input

pub fn supports_audio(&self) -> bool

Whether this model supports audio input

pub fn all() -> &'static [LlmModel]

All catalog models (excludes dynamic providers)

Trait Implementations

impl Clone for LlmModel

fn clone(&self) -> LlmModel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for LlmModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Display for LlmModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<AnthropicModel> for LlmModel

fn from(m: AnthropicModel) -> Self

Converts to this type from the input type.

impl From<BedrockModel> for LlmModel

fn from(m: BedrockModel) -> Self

Converts to this type from the input type.

impl From<CodexModel> for LlmModel

fn from(m: CodexModel) -> Self

Converts to this type from the input type.

impl From<DeepSeekModel> for LlmModel

fn from(m: DeepSeekModel) -> Self

Converts to this type from the input type.

impl From<GeminiModel> for LlmModel

fn from(m: GeminiModel) -> Self

Converts to this type from the input type.

impl From<MoonshotModel> for LlmModel

fn from(m: MoonshotModel) -> Self

Converts to this type from the input type.

impl From<OpenRouterModel> for LlmModel

fn from(m: OpenRouterModel) -> Self

Converts to this type from the input type.

impl From<OpenaiModel> for LlmModel

fn from(m: OpenaiModel) -> Self

Converts to this type from the input type.

impl From<ZAiModel> for LlmModel

fn from(m: ZAiModel) -> Self

Converts to this type from the input type.

impl FromStr for LlmModel

fn from_str(s: &str) -> Result<Self, Self::Err>

Parse a provider:model string into an LlmModel

type Err = String

The associated error which can be returned from parsing.

impl Hash for LlmModel

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for LlmModel

fn eq(&self, other: &LlmModel) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Eq for LlmModel

impl StructuralPartialEq for LlmModel