feat: regenerate SDK with updated OpenAPI spec

Speakeasy regeneration with latest schema changes including
type renames and new server tool models.

src/openrouter/components/chatusage.py

@@ -0,0 +1,175 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from __future__ import annotations
+from openrouter.types import (
+    BaseModel,
+    Nullable,
+    OptionalNullable,
+    UNSET,
+    UNSET_SENTINEL,
+)
+from pydantic import model_serializer
+from typing import Optional
+from typing_extensions import NotRequired, TypedDict
+
+
+class CompletionTokensDetailsTypedDict(TypedDict):
+    r"""Detailed completion token usage"""
+
+    reasoning_tokens: NotRequired[Nullable[float]]
+    r"""Tokens used for reasoning"""
+    audio_tokens: NotRequired[Nullable[float]]
+    r"""Tokens used for audio output"""
+    accepted_prediction_tokens: NotRequired[Nullable[float]]
+    r"""Accepted prediction tokens"""
+    rejected_prediction_tokens: NotRequired[Nullable[float]]
+    r"""Rejected prediction tokens"""
+
+
+class CompletionTokensDetails(BaseModel):
+    r"""Detailed completion token usage"""
+
+    reasoning_tokens: OptionalNullable[float] = UNSET
+    r"""Tokens used for reasoning"""
+
+    audio_tokens: OptionalNullable[float] = UNSET
+    r"""Tokens used for audio output"""
+
+    accepted_prediction_tokens: OptionalNullable[float] = UNSET
+    r"""Accepted prediction tokens"""
+
+    rejected_prediction_tokens: OptionalNullable[float] = UNSET
+    r"""Rejected prediction tokens"""
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        optional_fields = [
+            "reasoning_tokens",
+            "audio_tokens",
+            "accepted_prediction_tokens",
+            "rejected_prediction_tokens",
+        ]
+        nullable_fields = [
+            "reasoning_tokens",
+            "audio_tokens",
+            "accepted_prediction_tokens",
+            "rejected_prediction_tokens",
+        ]
+        null_default_fields = []
+
+        serialized = handler(self)
+
+        m = {}
+
+        for n, f in type(self).model_fields.items():
+            k = f.alias or n
+            val = serialized.get(k)
+            serialized.pop(k, None)
+
+            optional_nullable = k in optional_fields and k in nullable_fields
+            is_set = (
+                self.__pydantic_fields_set__.intersection({n})
+                or k in null_default_fields
+            )  # pylint: disable=no-member
+
+            if val is not None and val != UNSET_SENTINEL:
+                m[k] = val
+            elif val != UNSET_SENTINEL and (
+                not k in optional_fields or (optional_nullable and is_set)
+            ):
+                m[k] = val
+
+        return m
+
+
+class PromptTokensDetailsTypedDict(TypedDict):
+    r"""Detailed prompt token usage"""
+
+    cached_tokens: NotRequired[float]
+    r"""Cached prompt tokens"""
+    cache_write_tokens: NotRequired[float]
+    r"""Tokens written to cache. Only returned for models with explicit caching and cache write pricing."""
+    audio_tokens: NotRequired[float]
+    r"""Audio input tokens"""
+    video_tokens: NotRequired[float]
+    r"""Video input tokens"""
+
+
+class PromptTokensDetails(BaseModel):
+    r"""Detailed prompt token usage"""
+
+    cached_tokens: Optional[float] = None
+    r"""Cached prompt tokens"""
+
+    cache_write_tokens: Optional[float] = None
+    r"""Tokens written to cache. Only returned for models with explicit caching and cache write pricing."""
+
+    audio_tokens: Optional[float] = None
+    r"""Audio input tokens"""
+
+    video_tokens: Optional[float] = None
+    r"""Video input tokens"""
+
+
+class ChatUsageTypedDict(TypedDict):
+    r"""Token usage statistics"""
+
+    completion_tokens: float
+    r"""Number of tokens in the completion"""
+    prompt_tokens: float
+    r"""Number of tokens in the prompt"""
+    total_tokens: float
+    r"""Total number of tokens"""
+    completion_tokens_details: NotRequired[Nullable[CompletionTokensDetailsTypedDict]]
+    r"""Detailed completion token usage"""
+    prompt_tokens_details: NotRequired[Nullable[PromptTokensDetailsTypedDict]]
+    r"""Detailed prompt token usage"""
+
+
+class ChatUsage(BaseModel):
+    r"""Token usage statistics"""
+
+    completion_tokens: float
+    r"""Number of tokens in the completion"""
+
+    prompt_tokens: float
+    r"""Number of tokens in the prompt"""
+
+    total_tokens: float
+    r"""Total number of tokens"""
+
+    completion_tokens_details: OptionalNullable[CompletionTokensDetails] = UNSET
+    r"""Detailed completion token usage"""
+
+    prompt_tokens_details: OptionalNullable[PromptTokensDetails] = UNSET
+    r"""Detailed prompt token usage"""
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        optional_fields = ["completion_tokens_details", "prompt_tokens_details"]
+        nullable_fields = ["completion_tokens_details", "prompt_tokens_details"]
+        null_default_fields = []
+
+        serialized = handler(self)
+
+        m = {}
+
+        for n, f in type(self).model_fields.items():
+            k = f.alias or n
+            val = serialized.get(k)
+            serialized.pop(k, None)
+
+            optional_nullable = k in optional_fields and k in nullable_fields
+            is_set = (
+                self.__pydantic_fields_set__.intersection({n})
+                or k in null_default_fields
+            )  # pylint: disable=no-member
+
+            if val is not None and val != UNSET_SENTINEL:
+                m[k] = val
+            elif val != UNSET_SENTINEL and (
+                not k in optional_fields or (optional_nullable and is_set)
+            ):
+                m[k] = val
+
+        return m