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https://github.com/wassname/openrouter-python-sdk-retry-errors.git
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chore: 🐝 Update SDK - Generate (spec change merged) 0.11.6 (#400)
Co-authored-by: speakeasybot <bot@speakeasyapi.dev> Co-authored-by: speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
This commit is contained in:
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speakeasybot
speakeasy-github[bot] <128539517+speakeasy-github[bot]@users.noreply.github.com>
parent
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releaseVersion: 0.11.6
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repoURL: https://github.com/OpenRouterTeam/python-sdk.git
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src/openrouter/components/fusionsource.py:
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@@ -10706,6 +10706,3 @@ examples:
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"500":
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application/json: {"error": {"code": 500, "message": "Internal Server Error"}}
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examplesVersion: 1.0.2
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releaseNotes: |
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## Python SDK Changes:
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* `open_router.models.list()`: `request` **Changed**
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+1
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documentation: mintlify
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preApplyUnionDiscriminators: true
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python:
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version: 0.11.5
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version: 0.11.6
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additionalDependencies:
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dev: {}
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main: {}
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@@ -8313,7 +8313,7 @@ components:
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$ref: '#/components/schemas/AnthropicCacheControlDirective'
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max_completion_tokens:
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description: >-
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Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, the provider's default applies.
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Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, panelists default to 32000 and the judge to 50000.
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example: 16384
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type: integer
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max_tool_calls:
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@@ -2,8 +2,8 @@ speakeasyVersion: 1.787.0
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sources:
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OpenRouter API:
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sourceNamespace: open-router-chat-completions-api
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sourceRevisionDigest: sha256:aba0fa7083fc84520a6b33a28d83672fe37eaa65e185f219182d1c9a6d399fbf
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tags:
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- latest
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- 1.0.0
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@@ -11,10 +11,10 @@ targets:
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open-router:
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source: OpenRouter API
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sourceNamespace: open-router-chat-completions-api
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workflow:
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workflowVersion: 1.0.0
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speakeasyVersion: 1.787.0
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+11
-1
@@ -158,4 +158,14 @@ Based on:
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### Generated
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- [python v0.11.5] .
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### Releases
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- [PyPI v0.11.5] https://pypi.org/project/openrouter/0.11.5 - .
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- [PyPI v0.11.5] https://pypi.org/project/openrouter/0.11.5 - .
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## 2026-07-07 19:09:09
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### Changes
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Based on:
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- OpenAPI Doc
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- Speakeasy CLI 1.787.0 (2.914.0) https://github.com/speakeasy-api/speakeasy
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### Generated
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- [python v0.11.6] .
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### Releases
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- [PyPI v0.11.6] https://pypi.org/project/openrouter/0.11.6 - .
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@@ -11,7 +11,7 @@ Configuration for the openrouter:fusion server tool.
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| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `analysis_models` | List[*str*] | :heavy_minus_sign: | Slugs of models to run in parallel as the analysis panel. Each model receives the user prompt with openrouter:web_search and openrouter:web_fetch enabled, then a judge model summarizes the collective output into structured analysis JSON. Capped at 8 models to bound cost amplification. Defaults to the Quality preset from /labs/fusion. | [<br/>"~anthropic/claude-opus-latest",<br/>"~openai/gpt-latest",<br/>"~google/gemini-pro-latest"<br/>] |
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| `cache_control` | [Optional[components.AnthropicCacheControlDirective]](../components/anthropiccachecontroldirective.mdx) | :heavy_minus_sign: | Enable automatic prompt caching. When set at the top level, the system automatically applies cache breakpoints to the last cacheable block in the request. Currently supported for Anthropic Claude models. | \{<br/>"type": "ephemeral"<br/>} |
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| `max_completion_tokens` | *Optional[int]* | :heavy_minus_sign: | Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, the provider's default applies. | 16384 |
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| `max_completion_tokens` | *Optional[int]* | :heavy_minus_sign: | Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, panelists default to 32000 and the judge to 50000. | 16384 |
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| `max_tool_calls` | *Optional[int]* | :heavy_minus_sign: | Maximum number of tool-calling steps each panelist (analysis model) and the judge model may take during their agentic web-research loop. Models with web_search/web_fetch enabled iterate until they produce a text response or hit this ceiling. Defaults to 8. Capped at 16. | 12 |
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| `model` | *Optional[str]* | :heavy_minus_sign: | Slug of the judge model that produces the structured analysis JSON. Defaults to the model used in the outer API request. | ~anthropic/claude-opus-latest |
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| `reasoning` | [Optional[components.FusionServerToolConfigReasoning]](../components/fusionservertoolconfigreasoning.mdx) | :heavy_minus_sign: | Reasoning configuration forwarded to panelist and judge inner calls. Use this to control reasoning effort and token budget for models that support extended thinking. | |
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+1
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[project]
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name = "openrouter"
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version = "0.11.5"
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version = "0.11.6"
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description = "Official Python Client SDK for OpenRouter."
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authors = [{ name = "OpenRouter" },]
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readme = "README-PYPI.md"
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@@ -3,10 +3,10 @@
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import importlib.metadata
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__title__: str = "openrouter"
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__version__: str = "0.11.5"
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__version__: str = "0.11.6"
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__openapi_doc_version__: str = "1.0.0"
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__gen_version__: str = "2.914.0"
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__user_agent__: str = "speakeasy-sdk/python 0.11.5 2.914.0 1.0.0 openrouter"
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__user_agent__: str = "speakeasy-sdk/python 0.11.6 2.914.0 1.0.0 openrouter"
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try:
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if __package__ is not None:
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@@ -100,7 +100,7 @@ class FusionServerToolConfigTypedDict(TypedDict):
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cache_control: NotRequired[AnthropicCacheControlDirectiveTypedDict]
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r"""Enable automatic prompt caching. When set at the top level, the system automatically applies cache breakpoints to the last cacheable block in the request. Currently supported for Anthropic Claude models."""
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max_completion_tokens: NotRequired[int]
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r"""Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, the provider's default applies."""
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r"""Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, panelists default to 32000 and the judge to 50000."""
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max_tool_calls: NotRequired[int]
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r"""Maximum number of tool-calling steps each panelist (analysis model) and the judge model may take during their agentic web-research loop. Models with web_search/web_fetch enabled iterate until they produce a text response or hit this ceiling. Defaults to 8. Capped at 16."""
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model: NotRequired[str]
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@@ -123,7 +123,7 @@ class FusionServerToolConfig(BaseModel):
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r"""Enable automatic prompt caching. When set at the top level, the system automatically applies cache breakpoints to the last cacheable block in the request. Currently supported for Anthropic Claude models."""
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max_completion_tokens: Optional[int] = None
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r"""Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, the provider's default applies."""
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r"""Maximum number of output tokens (including reasoning tokens) each panelist and the judge model may produce per inner call. Controls the total output budget so reasoning-heavy models like GPT-5.5 do not exhaust their token allowance before producing visible text. When omitted, panelists default to 32000 and the judge to 50000."""
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max_tool_calls: Optional[int] = None
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r"""Maximum number of tool-calling steps each panelist (analysis model) and the judge model may take during their agentic web-research loop. Models with web_search/web_fetch enabled iterate until they produce a text response or hit this ceiling. Defaults to 8. Capped at 16."""
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