mirror of
https://github.com/wassname/openrouter-python-sdk-retry-errors.git
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109 lines
6.0 KiB
Python
109 lines
6.0 KiB
Python
"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
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from __future__ import annotations
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from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL, UnrecognizedStr
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from pydantic import model_serializer
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from typing import Any, Dict, List, Literal, Optional, Union
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from typing_extensions import NotRequired, TypedDict
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FusionPluginID = Literal["fusion",]
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PresetEnum = Union[
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Literal[
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"general-high",
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"general-budget",
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"general-fast",
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],
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UnrecognizedStr,
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]
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r"""A curated OpenRouter fusion preset (slugs follow `<task>-<tier>`, e.g. `general-high`). Expands server-side into the preset's analysis_models panel and judge model, so callers never name individual models. Explicitly provided `analysis_models` / `model` take precedence."""
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class FusionPluginToolTypedDict(TypedDict):
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type: str
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r"""Server tool type identifier (e.g. \"openrouter:web_search\", \"openrouter:web_fetch\")."""
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parameters: NotRequired[Dict[str, Nullable[Any]]]
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r"""Optional configuration forwarded as the tool's `parameters` object."""
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class FusionPluginTool(BaseModel):
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type: str
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r"""Server tool type identifier (e.g. \"openrouter:web_search\", \"openrouter:web_fetch\")."""
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parameters: Optional[Dict[str, Nullable[Any]]] = None
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r"""Optional configuration forwarded as the tool's `parameters` object."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(["parameters"])
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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if val != UNSET_SENTINEL:
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if val is not None or k not in optional_fields:
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m[k] = val
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return m
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class FusionPluginTypedDict(TypedDict):
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id: FusionPluginID
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analysis_models: NotRequired[List[str]]
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r"""Slugs of models to run in parallel as the \"expert panel\" the judge analyzes. Each model receives the same user prompt with web_search + web_fetch enabled. Capped at 8 models to bound cost amplification. When omitted, defaults to the Quality preset from the /labs/fusion UI (~anthropic/claude-opus-latest, ~openai/gpt-latest, ~google/gemini-pro-latest)."""
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enabled: NotRequired[bool]
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r"""Set to false to disable the fusion plugin for this request. Defaults to true."""
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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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r"""Slug of the model that performs both the judge step (with web_search + web_fetch) and the final synthesis. When omitted, defaults to the first model in the Quality preset."""
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preset: NotRequired[PresetEnum]
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r"""A curated OpenRouter fusion preset (slugs follow `<task>-<tier>`, e.g. `general-high`). Expands server-side into the preset's analysis_models panel and judge model, so callers never name individual models. Explicitly provided `analysis_models` / `model` take precedence."""
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tools: NotRequired[List[FusionPluginToolTypedDict]]
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r"""Server tools available to panelist and judge inner calls. Each entry uses the same `{ type, parameters? }` shorthand as the outer Chat Completions request. When omitted, defaults to `[{ type: \"openrouter:web_search\" }, { type: \"openrouter:web_fetch\" }]`. Pass an empty array to disable tools entirely (panelists answer from parametric knowledge only)."""
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class FusionPlugin(BaseModel):
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id: FusionPluginID
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analysis_models: Optional[List[str]] = None
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r"""Slugs of models to run in parallel as the \"expert panel\" the judge analyzes. Each model receives the same user prompt with web_search + web_fetch enabled. Capped at 8 models to bound cost amplification. When omitted, defaults to the Quality preset from the /labs/fusion UI (~anthropic/claude-opus-latest, ~openai/gpt-latest, ~google/gemini-pro-latest)."""
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enabled: Optional[bool] = None
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r"""Set to false to disable the fusion plugin for this request. Defaults to true."""
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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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model: Optional[str] = None
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r"""Slug of the model that performs both the judge step (with web_search + web_fetch) and the final synthesis. When omitted, defaults to the first model in the Quality preset."""
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preset: Optional[PresetEnum] = None
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r"""A curated OpenRouter fusion preset (slugs follow `<task>-<tier>`, e.g. `general-high`). Expands server-side into the preset's analysis_models panel and judge model, so callers never name individual models. Explicitly provided `analysis_models` / `model` take precedence."""
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tools: Optional[List[FusionPluginTool]] = None
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r"""Server tools available to panelist and judge inner calls. Each entry uses the same `{ type, parameters? }` shorthand as the outer Chat Completions request. When omitted, defaults to `[{ type: \"openrouter:web_search\" }, { type: \"openrouter:web_fetch\" }]`. Pass an empty array to disable tools entirely (panelists answer from parametric knowledge only)."""
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@model_serializer(mode="wrap")
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def serialize_model(self, handler):
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optional_fields = set(
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["analysis_models", "enabled", "max_tool_calls", "model", "preset", "tools"]
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)
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serialized = handler(self)
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m = {}
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for n, f in type(self).model_fields.items():
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k = f.alias or n
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val = serialized.get(k, serialized.get(n))
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if val != UNSET_SENTINEL:
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if val is not None or k not in optional_fields:
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m[k] = val
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return m
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