mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
synced 2026-09-12 12:40:42 +08:00
## Python SDK Changes:
* `open_router.beta.responses.send()`: * `request` **Changed** **Breaking** ⚠️ * `response` **Changed** **Breaking** ⚠️ * `open_router.presets.create_presets_responses()`: `request` **Changed** **Breaking** ⚠️ * `open_router.presets.create_presets_chat_completions()`: `request` **Changed** **Breaking** ⚠️ * `open_router.chat.send()`: `request` **Changed** **Breaking** ⚠️ * `open_router.workspaces.set_budget()`: **Added** * `open_router.o_auth.create_auth_code()`: * `request.workspace_id` **Added** * `error.status[403]` **Added** * `open_router.files.download()`: **Added** * `open_router.models.get()`: **Added** * `open_router.workspaces.list_budgets()`: **Added** * `open_router.workspaces.delete_budget()`: **Added** * `open_router.datasets.get_benchmarks_artificial_analysis()`: **Added** * `open_router.beta.analytics.query_analytics()`: `response.data.warnings` **Added** * `open_router.files.delete()`: **Added** * `open_router.files.retrieve()`: **Added** * `open_router.files.upload()`: **Added** * `open_router.embeddings.list_models()`: `response.data.[].benchmarks` **Added** * `open_router.models.list()`: * `request` **Changed** * `response.data.[].benchmarks` **Added** * `open_router.models.list_for_user()`: `response.data.[].benchmarks` **Added** * `open_router.files.list()`: **Added** * `open_router.presets.create_presets_messages()`: `request` **Changed** * `open_router.datasets.get_benchmarks_design_arena()`: **Added**
This commit is contained in:
speakeasybot
@@ -170,6 +170,20 @@ class ChatRequestReasoning(BaseModel):
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return m
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ChatRequestReasoningEffort = Union[
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Literal[
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"xhigh",
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"high",
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"medium",
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"low",
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"minimal",
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"none",
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],
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UnrecognizedStr,
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]
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r"""Shorthand for setting reasoning effort. Equivalent to setting reasoning.effort. Cannot be used simultaneously with reasoning.effort if they differ."""
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ResponseFormatTypedDict = TypeAliasType(
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"ResponseFormatTypedDict",
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Union[
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@@ -240,6 +254,8 @@ class ChatRequestTypedDict(TypedDict):
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r"""Maximum tokens (deprecated, use max_completion_tokens). Note: some providers enforce a minimum of 16."""
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metadata: NotRequired[Dict[str, str]]
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r"""Key-value pairs for additional object information (max 16 pairs, 64 char keys, 512 char values)"""
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min_p: NotRequired[Nullable[float]]
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r"""Minimum probability threshold relative to the most likely token. Tokens with probability below min_p * (probability of top token) are filtered out. Not all providers support this parameter."""
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modalities: NotRequired[List[Modality]]
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r"""Output modalities for the response. Supported values are \"text\", \"image\", and \"audio\"."""
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model: NotRequired[str]
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@@ -256,6 +272,10 @@ class ChatRequestTypedDict(TypedDict):
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r"""When multiple model providers are available, optionally indicate your routing preference."""
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reasoning: NotRequired[ChatRequestReasoningTypedDict]
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r"""Configuration options for reasoning models"""
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reasoning_effort: NotRequired[Nullable[ChatRequestReasoningEffort]]
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r"""Shorthand for setting reasoning effort. Equivalent to setting reasoning.effort. Cannot be used simultaneously with reasoning.effort if they differ."""
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repetition_penalty: NotRequired[Nullable[float]]
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r"""Penalizes tokens based on how much they have already appeared in the text. A value of 1.0 means no penalty. Values above 1.0 penalize repeated tokens more strongly. Not all providers support this parameter."""
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response_format: NotRequired[ResponseFormatTypedDict]
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r"""Response format configuration"""
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seed: NotRequired[Nullable[int]]
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@@ -278,6 +298,10 @@ class ChatRequestTypedDict(TypedDict):
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r"""Tool choice configuration"""
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tools: NotRequired[List[ChatFunctionToolTypedDict]]
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r"""Available tools for function calling"""
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top_a: NotRequired[Nullable[float]]
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r"""Consider only tokens with \"sufficiently high\" probabilities based on the probability of the most likely token. Not all providers support this parameter."""
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top_k: NotRequired[Nullable[int]]
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r"""Limits the model to choose from the top K most likely tokens at each step. A value of 1 means the model will always pick the most likely next token. Not all providers support this parameter."""
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top_logprobs: NotRequired[Nullable[int]]
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r"""Number of top log probabilities to return (0-20)"""
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top_p: NotRequired[Nullable[float]]
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@@ -321,6 +345,9 @@ class ChatRequest(BaseModel):
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metadata: Optional[Dict[str, str]] = None
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r"""Key-value pairs for additional object information (max 16 pairs, 64 char keys, 512 char values)"""
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min_p: OptionalNullable[float] = UNSET
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r"""Minimum probability threshold relative to the most likely token. Tokens with probability below min_p * (probability of top token) are filtered out. Not all providers support this parameter."""
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modalities: Optional[
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List[Annotated[Modality, PlainValidator(validate_open_enum(False))]]
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] = None
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@@ -347,6 +374,15 @@ class ChatRequest(BaseModel):
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reasoning: Optional[ChatRequestReasoning] = None
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r"""Configuration options for reasoning models"""
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reasoning_effort: Annotated[
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OptionalNullable[ChatRequestReasoningEffort],
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PlainValidator(validate_open_enum(False)),
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] = UNSET
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r"""Shorthand for setting reasoning effort. Equivalent to setting reasoning.effort. Cannot be used simultaneously with reasoning.effort if they differ."""
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repetition_penalty: OptionalNullable[float] = UNSET
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r"""Penalizes tokens based on how much they have already appeared in the text. A value of 1.0 means no penalty. Values above 1.0 penalize repeated tokens more strongly. Not all providers support this parameter."""
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response_format: Optional[ResponseFormat] = None
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r"""Response format configuration"""
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@@ -383,6 +419,12 @@ class ChatRequest(BaseModel):
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tools: Optional[List[ChatFunctionTool]] = None
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r"""Available tools for function calling"""
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top_a: OptionalNullable[float] = UNSET
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r"""Consider only tokens with \"sufficiently high\" probabilities based on the probability of the most likely token. Not all providers support this parameter."""
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top_k: OptionalNullable[int] = UNSET
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r"""Limits the model to choose from the top K most likely tokens at each step. A value of 1 means the model will always pick the most likely next token. Not all providers support this parameter."""
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top_logprobs: OptionalNullable[int] = UNSET
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r"""Number of top log probabilities to return (0-20)"""
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@@ -407,6 +449,7 @@ class ChatRequest(BaseModel):
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"max_completion_tokens",
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"max_tokens",
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"metadata",
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"min_p",
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"modalities",
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"model",
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"models",
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@@ -415,6 +458,8 @@ class ChatRequest(BaseModel):
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"presence_penalty",
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"provider",
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"reasoning",
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"reasoning_effort",
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"repetition_penalty",
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"response_format",
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"seed",
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"service_tier",
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@@ -426,6 +471,8 @@ class ChatRequest(BaseModel):
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"temperature",
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"tool_choice",
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"tools",
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"top_a",
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"top_k",
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"top_logprobs",
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"top_p",
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"trace",
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@@ -437,14 +484,19 @@ class ChatRequest(BaseModel):
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"logprobs",
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"max_completion_tokens",
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"max_tokens",
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"min_p",
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"parallel_tool_calls",
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"presence_penalty",
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"provider",
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"reasoning_effort",
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"repetition_penalty",
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"seed",
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"service_tier",
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"stop",
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"stream_options",
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"temperature",
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"top_a",
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"top_k",
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"top_logprobs",
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"top_p",
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]
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