Struct ModelProfile 

pub struct ModelProfile {

    pub provider: String,
    pub model_family: String,
    pub supports_temperature: bool,
    pub supports_thinking: bool,
    pub supports_reasoning: bool,
    pub inline_video: bool,
    pub vision: bool,
    pub image_input: bool,
    pub image_tool_results: bool,
    pub realtime: bool,
    pub supports_web_search: bool,
    pub image_generation: bool,
    pub params_schema: Value,
    pub beta_headers: Vec<ModelBetaHeader>,
    pub call_timeout_secs: Option<u64>,
}

Runtime profile for a model, describing its capabilities and operational defaults.

This is a capability-plus-operational-defaults catalog: it owns both model capability flags (vision, thinking, temperature) and authoritative model-specific operational defaults (call timeout) that the factory composes into effective runtime policy. This ownership expansion is deliberate — see dogma rule §11.

Fields

provider: String

Canonical provider string.

model_family: String

Model family identifier (e.g., "claude-opus-4", "gpt-5", "gemini-3").

supports_temperature: bool

Whether the model accepts a temperature parameter.

supports_thinking: bool

Whether the model supports extended thinking / reasoning budgets.

supports_reasoning: bool

Whether the model supports explicit reasoning effort control.

inline_video: bool

Whether the model accepts inline video content in user messages.

vision: bool

Whether the model accepts image content in user messages.

image_input: bool

Whether user messages may include image input blocks.

image_tool_results: bool

Whether the model can process image blocks in tool results. When false, view_image is hidden from the tool list.

realtime: bool

Whether the model supports a realtime bidirectional streaming transport (e.g. OpenAI *-realtime* endpoints, Gemini *-live* endpoints). Drives capability-based realtime transport attach/detach in the runtime.

supports_web_search: bool

Whether the model supports provider-native web search tools.

image_generation: bool

Whether the provider/model can use Meerkat image generation.

params_schema: Value

JSON Schema describing accepted provider-specific parameters.

beta_headers: Vec<ModelBetaHeader>

Beta headers authorized by the model capability catalog.

call_timeout_secs: Option<u64>

Authoritative default call timeout in seconds for this model family.

None means the model family has no profiled default timeout. This is the canonical source for model-specific call timeout defaults, consumed by the factory/agent-loop resolver trait at call time.

Trait Implementations

impl Clone for ModelProfile

fn clone(&self) -> ModelProfile

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ModelProfile

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ModelProfile

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl JsonSchema for ModelProfile

fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword.

impl Serialize for ModelProfile

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.