AiPricing

Struct AiPricing 

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pub struct AiPricing {
    pub input_per_1k_micros: u64,
    pub output_per_1k_micros: u64,
    pub cached_input_per_1k_micros: Option<u64>,
    pub batch_input_per_1k_micros: Option<u64>,
    pub batch_output_per_1k_micros: Option<u64>,
}
Expand description

Per-model token pricing (DW-079 ai.pricing.<provider_model>). Costs are integer MICRO-USD per 1 000 tokens (1 000 000 micro-USD = $1.00 — no floating-point money). The key in the parent map is the PROVIDER MODEL identifier (the actual model the provider charges for), not the client-facing alias. Spend is computed as input_tokens * input_per_1k_micros / 1000 + output_tokens * output_per_1k_micros / 1000 (integer micro-USD, saturating).

The optional cached-token and batch-rate fields (DW-AI-03) extend the table for prompt-caching and batch-API discounts. When absent, the standard input/output rates apply (the fallback). Cached tokens are priced at cached_input_per_1k_micros when present (the discounted rate providers charge for prompt-cache hits); the non-cached portion of the prompt is priced at the standard input_per_1k_micros. Batch rates apply when the request is a batch-API call (batch: true on the cost computation).

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§input_per_1k_micros: u64

Micro-USD per 1 000 input (prompt) tokens.

§output_per_1k_micros: u64

Micro-USD per 1 000 output (completion) tokens.

§cached_input_per_1k_micros: Option<u64>

Micro-USD per 1 000 CACHED input (prompt-cached) tokens. When present, the cached_tokens portion of the prompt is priced at this discounted rate instead of input_per_1k_micros. Absent (the default): cached tokens are priced at the standard input rate (no separate cached tier).

§batch_input_per_1k_micros: Option<u64>

Micro-USD per 1 000 input tokens under the batch API. When present and the request is a batch call, this rate replaces input_per_1k_micros. Absent (the default): batch calls fall back to the standard input rate.

§batch_output_per_1k_micros: Option<u64>

Micro-USD per 1 000 output tokens under the batch API. When present and the request is a batch call, this rate replaces output_per_1k_micros. Absent (the default): batch calls fall back to the standard output rate.

Trait Implementations§

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impl Clone for AiPricing

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fn clone(&self) -> AiPricing

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for AiPricing

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

Formats the value using the given formatter. Read more
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impl<'de> Deserialize<'de> for AiPricing

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl JsonSchema for AiPricing

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

The name of the generated JSON Schema. Read more
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fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type. Read more
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fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type. Read more
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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. Read more
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impl PartialEq for AiPricing

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

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

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

Serialize this value into the given Serde serializer. Read more
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impl Copy for AiPricing

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impl Eq for AiPricing

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impl StructuralPartialEq for AiPricing

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