chore: 🐝 Update SDK - Generate (spec change merged) 0.11.4 (#396)

Co-authored-by: speakeasybot <bot@speakeasyapi.dev>
Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>

src/openrouter/components/__init__.py

@@ -2074,6 +2074,7 @@ if TYPE_CHECKING:
         ParetoRouterPlugin,
         ParetoRouterPluginID,
         ParetoRouterPluginTypedDict,
+        PriceSource,
     )
     from .payloadtoolargeresponseerrordata import (
         PayloadTooLargeResponseErrorData,
@@ -4192,6 +4193,7 @@ __all__ = [
     "PreviewWebSearchUserLocation",
     "PreviewWebSearchUserLocationType",
     "PreviewWebSearchUserLocationTypedDict",
+    "PriceSource",
     "Pricing",
     "PricingTypedDict",
     "PromptInjectionScanScope",
@@ -6262,6 +6264,7 @@ _dynamic_imports: dict[str, str] = {
     "ParetoRouterPlugin": ".paretorouterplugin",
     "ParetoRouterPluginID": ".paretorouterplugin",
     "ParetoRouterPluginTypedDict": ".paretorouterplugin",
+    "PriceSource": ".paretorouterplugin",
     "PayloadTooLargeResponseErrorData": ".payloadtoolargeresponseerrordata",
     "PayloadTooLargeResponseErrorDataTypedDict": ".payloadtoolargeresponseerrordata",
     "PaymentRequiredResponseErrorData": ".paymentrequiredresponseerrordata",

src/openrouter/components/chatrequest.py

@@ -78,8 +78,8 @@ ChatRequestPluginTypedDict = TypeAliasType(
         ResponseHealingPluginTypedDict,
         FileParserPluginTypedDict,
         ContextCompressionPluginTypedDict,
-        ParetoRouterPluginTypedDict,
         AutoRouterPluginTypedDict,
+        ParetoRouterPluginTypedDict,
         WebFetchPluginTypedDict,
         FusionPluginTypedDict,
         WebSearchPluginTypedDict,

src/openrouter/components/imagegenerationrequest.py

@@ -698,7 +698,7 @@ class ImageGenerationRequestTypedDict(TypedDict):
     seed: NotRequired[int]
     r"""If specified, the generation will sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed for all providers."""
     size: NotRequired[str]
-    r"""Optional. A convenience shorthand for output dimensions — pass a tier (\"2K\", \"4K\") or explicit pixels (\"2048x2048\") and we normalize it to the right dimensions for the chosen provider. Interchangeable with resolution + aspect_ratio; use those directly for enumerated, per-model discoverable values. Conflicting size + resolution/aspect_ratio is rejected."""
+    r"""Optional. A convenience shorthand for output dimensions — pass a tier (\"2K\", \"4K\") or explicit pixels (\"2048x2048\") and we normalize it to the right dimensions for the chosen provider. A tier size is equivalent to setting `resolution` and combines with `aspect_ratio`. An explicit pixel size is authoritative: a mismatched `resolution` or `aspect_ratio` alongside it is rejected with a 400."""
     stream: NotRequired[bool]
     r"""If true, partial images are streamed as SSE events as they become available. Only supported by providers with native streaming (currently OpenAI). Non-streaming providers ignore this flag and return a buffered response."""
 
@@ -743,7 +743,7 @@ class ImageGenerationRequest(BaseModel):
     r"""If specified, the generation will sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed for all providers."""
 
     size: Optional[str] = None
-    r"""Optional. A convenience shorthand for output dimensions — pass a tier (\"2K\", \"4K\") or explicit pixels (\"2048x2048\") and we normalize it to the right dimensions for the chosen provider. Interchangeable with resolution + aspect_ratio; use those directly for enumerated, per-model discoverable values. Conflicting size + resolution/aspect_ratio is rejected."""
+    r"""Optional. A convenience shorthand for output dimensions — pass a tier (\"2K\", \"4K\") or explicit pixels (\"2048x2048\") and we normalize it to the right dimensions for the chosen provider. A tier size is equivalent to setting `resolution` and combines with `aspect_ratio`. An explicit pixel size is authoritative: a mismatched `resolution` or `aspect_ratio` alongside it is rejected with a 400."""
 
     stream: Optional[bool] = None
     r"""If true, partial images are streamed as SSE events as they become available. Only supported by providers with native streaming (currently OpenAI). Non-streaming providers ignore this flag and return a buffered response."""

src/openrouter/components/messagesrequest.py

@@ -355,8 +355,8 @@ MessagesRequestPluginTypedDict = TypeAliasType(
         ResponseHealingPluginTypedDict,
         FileParserPluginTypedDict,
         ContextCompressionPluginTypedDict,
-        ParetoRouterPluginTypedDict,
         AutoRouterPluginTypedDict,
+        ParetoRouterPluginTypedDict,
         WebFetchPluginTypedDict,
         FusionPluginTypedDict,
         WebSearchPluginTypedDict,

src/openrouter/components/paretorouterplugin.py

@@ -1,21 +1,33 @@
 """Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
 
 from __future__ import annotations
-from openrouter.types import BaseModel, UNSET_SENTINEL
+from openrouter.types import BaseModel, UNSET_SENTINEL, UnrecognizedStr
 from pydantic import model_serializer
-from typing import Literal, Optional
+from typing import Literal, Optional, Union
 from typing_extensions import NotRequired, TypedDict
 
 
 ParetoRouterPluginID = Literal["pareto-router",]
 
 
+PriceSource = Union[
+    Literal[
+        "prompt",
+        "weighted_avg",
+    ],
+    UnrecognizedStr,
+]
+r"""Price source for the Pareto frontier cost axis. \"prompt\" uses catalog list price (endpoint.pricing.prompt). \"weighted_avg\" uses traffic-weighted effective input price from ClickHouse, falling back to prompt price for models without traffic data. Defaults to \"prompt\"."""
+
+
 class ParetoRouterPluginTypedDict(TypedDict):
     id: ParetoRouterPluginID
     enabled: NotRequired[bool]
     r"""Set to false to disable the pareto-router plugin for this request. Defaults to true."""
     min_coding_score: NotRequired[float]
-    r"""Minimum desired coding score between 0 and 1, where 1 is best. Higher values select from stronger coding models (sourced from Artificial Analysis coding percentiles). Maps internally to one of three tiers (low, medium, high). Omit to use the router default tier."""
+    r"""Minimum coding quality score between 0 and 1. Maps to internal quality tiers: >= 0.66 → high (top coding models), >= 0.33 → medium (strong modern flagships), < 0.33 → low (capable coders above the median). Omit to default to the highest tier (equivalent to >= 0.66)."""
+    price_source: NotRequired[PriceSource]
+    r"""Price source for the Pareto frontier cost axis. \"prompt\" uses catalog list price (endpoint.pricing.prompt). \"weighted_avg\" uses traffic-weighted effective input price from ClickHouse, falling back to prompt price for models without traffic data. Defaults to \"prompt\"."""
 
 
 class ParetoRouterPlugin(BaseModel):
@@ -25,11 +37,14 @@ class ParetoRouterPlugin(BaseModel):
     r"""Set to false to disable the pareto-router plugin for this request. Defaults to true."""
 
     min_coding_score: Optional[float] = None
-    r"""Minimum desired coding score between 0 and 1, where 1 is best. Higher values select from stronger coding models (sourced from Artificial Analysis coding percentiles). Maps internally to one of three tiers (low, medium, high). Omit to use the router default tier."""
+    r"""Minimum coding quality score between 0 and 1. Maps to internal quality tiers: >= 0.66 → high (top coding models), >= 0.33 → medium (strong modern flagships), < 0.33 → low (capable coders above the median). Omit to default to the highest tier (equivalent to >= 0.66)."""
+
+    price_source: Optional[PriceSource] = None
+    r"""Price source for the Pareto frontier cost axis. \"prompt\" uses catalog list price (endpoint.pricing.prompt). \"weighted_avg\" uses traffic-weighted effective input price from ClickHouse, falling back to prompt price for models without traffic data. Defaults to \"prompt\"."""
 
     @model_serializer(mode="wrap")
     def serialize_model(self, handler):
-        optional_fields = set(["enabled", "min_coding_score"])
+        optional_fields = set(["enabled", "min_coding_score", "price_source"])
         serialized = handler(self)
         m = {}
 

src/openrouter/components/responsesrequest.py

@@ -123,8 +123,8 @@ ResponsesRequestPluginTypedDict = TypeAliasType(
         ResponseHealingPluginTypedDict,
         FileParserPluginTypedDict,
         ContextCompressionPluginTypedDict,
-        ParetoRouterPluginTypedDict,
         AutoRouterPluginTypedDict,
+        ParetoRouterPluginTypedDict,
         WebFetchPluginTypedDict,
         FusionPluginTypedDict,
         WebSearchPluginTypedDict,