Struct Intelligence 

pub struct Intelligence {

    pub endpoints: Vec<String>,
    pub model: Option<String>,
    pub dialect: Option<String>,
    pub token: Option<Secret>,
    pub token_file: Option<String>,
    pub headers: BTreeMap<String, String>,
    pub auth: Option<Auth>,
    pub swap_policy: Option<String>,
    pub structured_output: StructuredOutput,
    pub budget: Budget,
    pub pricing: BTreeMap<String, Pricing>,
    pub timeout: Option<Dur>,
    pub models: BTreeMap<String, ModelTier>,
    pub default: Option<String>,
    pub preflight_model: Option<String>,
}

Fields

endpoints: Vec<String>

model: Option<String>

dialect: Option<String>

The wire dialect: openai (default), anthropic, or bedrock (native Amazon Bedrock Converse — pair with auth: {kind: aws, service: bedrock}). Unset ⇒ OpenAI-compatible.

token: Option<Secret>

token_file: Option<String>

headers: BTreeMap<String, String>

auth: Option<Auth>

A unified credential provider for the LLM endpoint — e.g. oauth2 device-login for an enterprise gateway. Obtained via agentd login intelligence; the resolved bearer overrides token.

swap_policy: Option<String>

structured_output: StructuredOutput

budget: Budget

pricing: BTreeMap<String, Pricing>

timeout: Option<Dur>

models: BTreeMap<String, ModelTier>

Named model TIERS. The model was one instance-global string, so choosing a cheap model for a classify step and a frontier one for a judgement call meant forking a subagent process just to change it — and the breaker was per ENDPOINT, so a frontier and a cheap model behind one gateway shared one breaker and one spend pool.

A tier is NOT a second service catalog: services: already names endpoints, auth, tags, rate and breaker, and restating those here would be a parallel mechanism. A tier points AT a service and may only narrow — it inherits that service’s trifecta tags and can never declare its own floor, so “make it cheaper” cannot quietly become a different security decision.

default: Option<String>

Which tier is used when nothing names one. Falls back to model.

preflight_model: Option<String>

The tier preflight runs on. Preflight is a recurring fixed cost on every inbound message, like compaction — it does not need the model that answers.

Implementations

impl Intelligence

pub fn wire_model(&self, reference: &str) -> String

Resolve a model reference to the wire model name.

A reference is either a declared TIER name or a literal model string, with the tier winning. That ordering is what lets models: be adopted without rewriting every place a model is already named — an existing literal keeps working, and a tier name takes over the moment one is declared under that name.

pub fn tier(&self, reference: &str) -> Option<&ModelTier>

The tier a reference names, if it names one.

pub fn default_reference(&self) -> Option<String>

The model reference used when nothing names one: default (a tier), else model (a literal or a tier name).

pub fn fallback_chain(&self, reference: &str) -> Vec<String>

Walk the fallback chain from reference, stopping at the first tier with no fallback. Cycles are impossible because validation refuses them; the bound here is belt-and-braces for a config that reached the runtime some other way.

pub fn timeout(&self) -> Duration

pub fn endpoint_list(&self) -> Option<String>

The comma-joined endpoint list URI the v1 intelligence client speaks.

Trait Implementations

impl Clone for Intelligence

fn clone(&self) -> Intelligence

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Intelligence

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

Formats the value using the given formatter.

impl Default for Intelligence

fn default() -> Intelligence

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for Intelligence

where Intelligence: Default,

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Intelligence

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for Intelligence