mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-08-16 11:24:35 +08:00
Compare commits
| Author | SHA1 | Date | |
|---|---|---|---|
 speakeasy-github[bot]
|
fbc76c779e | ||
|
speakeasybot
|
9454ae7365 | ||
|
Christine Chen
|
7b4b9feaa5 | ||
|
Christine Chen
|
add423f762 | ||
|
Christine Chen
|
c34ce15fa2 | ||
|
robert-j-yandOpenRouter SDK Bot
|
8e637041c4 | ||
|
robert-j-yandOpenRouter SDK Bot
|
146cec3c08 |
@@ -5,7 +5,7 @@ name: Auto-merge Speakeasy PR
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||||
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on:
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||||
pull_request:
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types: [labeled]
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types: [labeled, opened]
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permissions:
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contents: write
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runs-on: ubuntu-latest
|
||||
steps:
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||||
- name: Close superseded Speakeasy PRs
|
||||
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||||
+41
-36
@@ -1,7 +1,7 @@
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lockVersion: 2.0.0
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@@ -10062,6 +10066,7 @@ releaseNotes: |
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* `open_router.datasets.get_benchmarks_artificial_analysis()`: **Deleted** **Breaking** :warning:
|
||||
* `open_router.datasets.get_benchmarks_design_arena()`: **Deleted** **Breaking** :warning:
|
||||
* `open_router.chat.send()`: `response` **Changed**
|
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|
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* `open_router.embeddings.list_models()`: `response.data.[].reasoning` **Added**
|
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* `open_router.models.get()`: `response.data.reasoning` **Added**
|
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* `open_router.models.list()`: `response.data.[].reasoning` **Added**
|
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effort:
|
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description: Reasoning effort level for the advisor call.
|
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enum:
|
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|
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|
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|
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|
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effort:
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description: Constrains effort on reasoning for reasoning models
|
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enum:
|
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|
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|
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|
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|
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Shorthand for setting reasoning effort. Equivalent to setting reasoning.effort. Cannot be used
|
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|
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enum:
|
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|
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effort:
|
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description: Reasoning effort level for panelist and judge inner calls.
|
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enum:
|
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|
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|
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|
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|
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type: response.reasoning_text.done
|
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ReasoningEffort:
|
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enum:
|
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|
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|
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- high
|
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|
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|
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effort:
|
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description: Reasoning effort level for the subagent call.
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -24635,6 +24641,31 @@ paths:
|
||||
example: 0.0001
|
||||
format: double
|
||||
type: number
|
||||
cost_details:
|
||||
description: Breakdown of upstream inference costs
|
||||
example:
|
||||
upstream_inference_completions_cost: 0.0004
|
||||
upstream_inference_cost: null
|
||||
upstream_inference_prompt_cost: 0.0008
|
||||
nullable: true
|
||||
properties:
|
||||
upstream_inference_completions_cost:
|
||||
format: double
|
||||
type: number
|
||||
upstream_inference_cost:
|
||||
format: double
|
||||
nullable: true
|
||||
type: number
|
||||
upstream_inference_prompt_cost:
|
||||
format: double
|
||||
type: number
|
||||
required:
|
||||
- upstream_inference_prompt_cost
|
||||
- upstream_inference_completions_cost
|
||||
type: object
|
||||
is_byok:
|
||||
description: Whether a request was made using a Bring Your Own Key configuration
|
||||
type: boolean
|
||||
prompt_tokens:
|
||||
description: Number of tokens in the input
|
||||
example: 8
|
||||
|
||||
@@ -175,6 +175,7 @@ components:
|
||||
effort:
|
||||
description: Reasoning effort level for the advisor call.
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -4742,6 +4743,7 @@ components:
|
||||
effort:
|
||||
description: Constrains effort on reasoning for reasoning models
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -4760,6 +4762,7 @@ components:
|
||||
description: >-
|
||||
Shorthand for setting reasoning effort. Equivalent to setting reasoning.effort. Cannot be used simultaneously with reasoning.effort if they differ.
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -8158,6 +8161,7 @@ components:
|
||||
effort:
|
||||
description: Reasoning effort level for panelist and judge inner calls.
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -18353,6 +18357,7 @@ components:
|
||||
type: response.reasoning_text.done
|
||||
ReasoningEffort:
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -19805,6 +19810,7 @@ components:
|
||||
effort:
|
||||
description: Reasoning effort level for the subagent call.
|
||||
enum:
|
||||
- max
|
||||
- xhigh
|
||||
- high
|
||||
- medium
|
||||
@@ -24481,6 +24487,31 @@ paths:
|
||||
example: 0.0001
|
||||
format: double
|
||||
type: number
|
||||
cost_details:
|
||||
description: Breakdown of upstream inference costs
|
||||
example:
|
||||
upstream_inference_completions_cost: 0.0004
|
||||
upstream_inference_cost: null
|
||||
upstream_inference_prompt_cost: 0.0008
|
||||
nullable: true
|
||||
properties:
|
||||
upstream_inference_completions_cost:
|
||||
format: double
|
||||
type: number
|
||||
upstream_inference_cost:
|
||||
format: double
|
||||
nullable: true
|
||||
type: number
|
||||
upstream_inference_prompt_cost:
|
||||
format: double
|
||||
type: number
|
||||
required:
|
||||
- upstream_inference_prompt_cost
|
||||
- upstream_inference_completions_cost
|
||||
type: object
|
||||
is_byok:
|
||||
description: Whether a request was made using a Bring Your Own Key configuration
|
||||
type: boolean
|
||||
prompt_tokens:
|
||||
description: Number of tokens in the input
|
||||
example: 8
|
||||
|
||||
@@ -2,20 +2,20 @@ speakeasyVersion: 1.680.0
|
||||
sources:
|
||||
OpenRouter API:
|
||||
sourceNamespace: open-router-chat-completions-api
|
||||
sourceRevisionDigest: sha256:3961034f6f0bdec425b86df15fce217a97ac7b47776d8a0c815e3dd64ebd81de
|
||||
sourceBlobDigest: sha256:4e1f247864fe64f3cd13e9a6d8e3215f118d8497db4d1eb58e5c803d0d34b5dc
|
||||
sourceRevisionDigest: sha256:e723fd6d93d1675f10180ae0294e31a5f58f3492260b2afb840c9d21afe73fa5
|
||||
sourceBlobDigest: sha256:e0cae9ca4d8bd6326bf2af1bc0b1444b9819a634698e848acf6831bcd7391c36
|
||||
tags:
|
||||
- latest
|
||||
- speakeasy-sdk-regen-1781825192
|
||||
- speakeasy-sdk-regen-1782146304
|
||||
- 1.0.0
|
||||
targets:
|
||||
open-router:
|
||||
source: OpenRouter API
|
||||
sourceNamespace: open-router-chat-completions-api
|
||||
sourceRevisionDigest: sha256:3961034f6f0bdec425b86df15fce217a97ac7b47776d8a0c815e3dd64ebd81de
|
||||
sourceBlobDigest: sha256:4e1f247864fe64f3cd13e9a6d8e3215f118d8497db4d1eb58e5c803d0d34b5dc
|
||||
sourceRevisionDigest: sha256:e723fd6d93d1675f10180ae0294e31a5f58f3492260b2afb840c9d21afe73fa5
|
||||
sourceBlobDigest: sha256:e0cae9ca4d8bd6326bf2af1bc0b1444b9819a634698e848acf6831bcd7391c36
|
||||
codeSamplesNamespace: open-router-python-code-samples
|
||||
codeSamplesRevisionDigest: sha256:d59fc8e5b1b99b9889f59b905f8ecf55e91c3ded775b70c80e3c3b3a940f9eba
|
||||
codeSamplesRevisionDigest: sha256:18d9a2a331754321fc8bb0067e344794777799ec325b28bdd67548c0d0f3bbe1
|
||||
workflow:
|
||||
workflowVersion: 1.0.0
|
||||
speakeasyVersion: 1.680.0
|
||||
|
||||
+1
-1
@@ -30,7 +30,7 @@ Based on:
|
||||
### Releases
|
||||
- [PyPI v0.10.0] https://pypi.org/project/openrouter/0.10.0 - .
|
||||
|
||||
## 2026-06-19 01:04:04
|
||||
## 2026-06-22 16:46:58
|
||||
### Changes
|
||||
Based on:
|
||||
- OpenAPI Doc
|
||||
|
||||
@@ -10,6 +10,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
AdvisorReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -106,6 +106,7 @@ ChatRequestPlugin = Annotated[
|
||||
|
||||
ChatRequestEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
@@ -172,6 +173,7 @@ class ChatRequestReasoning(BaseModel):
|
||||
|
||||
ChatRequestReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -10,6 +10,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
FusionServerToolConfigEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -19,6 +19,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
DefaultEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -7,6 +7,7 @@ from typing import Literal, Union
|
||||
|
||||
ReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -10,6 +10,7 @@ from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
SubagentReasoningEffort = Union[
|
||||
Literal[
|
||||
"max",
|
||||
"xhigh",
|
||||
"high",
|
||||
"medium",
|
||||
|
||||
@@ -81,6 +81,8 @@ if TYPE_CHECKING:
|
||||
ContentText,
|
||||
ContentTextTypedDict,
|
||||
ContentTypedDict,
|
||||
CostDetails,
|
||||
CostDetailsTypedDict,
|
||||
CreateEmbeddingsData,
|
||||
CreateEmbeddingsDataTypedDict,
|
||||
CreateEmbeddingsGlobals,
|
||||
@@ -719,6 +721,8 @@ __all__ = [
|
||||
"ContentText",
|
||||
"ContentTextTypedDict",
|
||||
"ContentTypedDict",
|
||||
"CostDetails",
|
||||
"CostDetailsTypedDict",
|
||||
"CreateAudioSpeechGlobals",
|
||||
"CreateAudioSpeechGlobalsTypedDict",
|
||||
"CreateAudioSpeechRequest",
|
||||
@@ -1263,6 +1267,8 @@ _dynamic_imports: dict[str, str] = {
|
||||
"ContentText": ".createembeddings",
|
||||
"ContentTextTypedDict": ".createembeddings",
|
||||
"ContentTypedDict": ".createembeddings",
|
||||
"CostDetails": ".createembeddings",
|
||||
"CostDetailsTypedDict": ".createembeddings",
|
||||
"CreateEmbeddingsData": ".createembeddings",
|
||||
"CreateEmbeddingsDataTypedDict": ".createembeddings",
|
||||
"CreateEmbeddingsGlobals": ".createembeddings",
|
||||
|
||||
@@ -344,6 +344,54 @@ class CreateEmbeddingsData(BaseModel):
|
||||
Object = Literal["list",]
|
||||
|
||||
|
||||
class CostDetailsTypedDict(TypedDict):
|
||||
r"""Breakdown of upstream inference costs"""
|
||||
|
||||
upstream_inference_completions_cost: float
|
||||
upstream_inference_prompt_cost: float
|
||||
upstream_inference_cost: NotRequired[Nullable[float]]
|
||||
|
||||
|
||||
class CostDetails(BaseModel):
|
||||
r"""Breakdown of upstream inference costs"""
|
||||
|
||||
upstream_inference_completions_cost: float
|
||||
|
||||
upstream_inference_prompt_cost: float
|
||||
|
||||
upstream_inference_cost: OptionalNullable[float] = UNSET
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["upstream_inference_cost"]
|
||||
nullable_fields = ["upstream_inference_cost"]
|
||||
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"""Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included."""
|
||||
|
||||
@@ -387,6 +435,10 @@ class CreateEmbeddingsUsageTypedDict(TypedDict):
|
||||
r"""Total number of tokens used"""
|
||||
cost: NotRequired[float]
|
||||
r"""Cost of the request in credits"""
|
||||
cost_details: NotRequired[Nullable[CostDetailsTypedDict]]
|
||||
r"""Breakdown of upstream inference costs"""
|
||||
is_byok: NotRequired[bool]
|
||||
r"""Whether a request was made using a Bring Your Own Key configuration"""
|
||||
prompt_tokens_details: NotRequired[PromptTokensDetailsTypedDict]
|
||||
r"""Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included."""
|
||||
|
||||
@@ -403,9 +455,45 @@ class CreateEmbeddingsUsage(BaseModel):
|
||||
cost: Optional[float] = None
|
||||
r"""Cost of the request in credits"""
|
||||
|
||||
cost_details: OptionalNullable[CostDetails] = UNSET
|
||||
r"""Breakdown of upstream inference costs"""
|
||||
|
||||
is_byok: Optional[bool] = None
|
||||
r"""Whether a request was made using a Bring Your Own Key configuration"""
|
||||
|
||||
prompt_tokens_details: Optional[PromptTokensDetails] = None
|
||||
r"""Per-modality token breakdown. Only present when the input contains 2+ modalities (e.g. text + image) and the upstream provider returns modality-level usage data. Only non-zero modality counts are included."""
|
||||
|
||||
@model_serializer(mode="wrap")
|
||||
def serialize_model(self, handler):
|
||||
optional_fields = ["cost", "cost_details", "is_byok", "prompt_tokens_details"]
|
||||
nullable_fields = ["cost_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
|
||||
|
||||
|
||||
class CreateEmbeddingsResponseBodyTypedDict(TypedDict):
|
||||
r"""Embeddings response containing embedding vectors"""
|
||||
|
||||
Reference in New Issue
Block a user