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Version: 0.3 (latest)

cubepi.providers

AssistantMessage​

class

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Content​

attribute

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ImageContent​

class

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Message​

attribute

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MessageStream​

class

MessageStream(self)

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Model​

class

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ModelCost​

class

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OnPayloadCallback​

attribute

Optional callback for inspecting/replacing provider payloads before sending. Return a dict to replace the payload, or None to keep unchanged.

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OnResponseCallback​

attribute

Optional callback invoked after an HTTP response is received.

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Provider​

class

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ProviderResponse​

class

ProviderResponse(self, status: int, headers: dict[str, str] = dict())

HTTP response metadata exposed to on_response callbacks.

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StreamEvent​

class

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StreamOptions​

class

Options bag for Provider.stream(), transparent to the agent loop.

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TextContent​

class

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ThinkingBudgets​

class

Token budgets for each thinking level.

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ThinkingContent​

class

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ThinkingLevel​

attribute

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ToolCall​

class

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ToolDefinition​

class

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ToolResultMessage​

class

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Usage​

class

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UserMessage​

class

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adjust_max_tokens_for_thinking​

function

adjust_max_tokens_for_thinking(base_max_tokens: int, model_max_tokens: int, reasoning_level: ThinkingLevel, custom_budgets: ThinkingBudgets | None = None) -> tuple[int, int]

Adjust max_tokens to reserve space for a thinking budget.

Given a base max_tokens (the desired output capacity), increases it to accommodate the thinking budget while respecting the model's hard cap. If the model cap is too small to fit both, the thinking budget is reduced to leave at least min_output_tokens (1024) for output.

Returns

  • A (max_tokens, thinking_budget) tuple.

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FauxProvider​

class

FauxProvider(self, *, tokens_per_second: float | None = None, token_size_min: int = 3, token_size_max: int = 5)

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faux_assistant_message​

function

faux_assistant_message(content: str | FauxContentBlock | list[FauxContentBlock], *, stop_reason: str = 'stop', error_message: str | None = None) -> AssistantMessage

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faux_text​

function

faux_text(text: str) -> TextContent

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faux_thinking​

function

faux_thinking(thinking: str) -> ThinkingContent

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faux_tool_call​

function

faux_tool_call(name: str, arguments: dict[str, Any], *, id: str | None = None) -> ToolCall

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THINKING_LEVELS​

attribute

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clamp_thinking_level​

function

clamp_thinking_level(model: Model, level: ThinkingLevel) -> ThinkingLevel

Clamp level to the nearest supported level for model.

If level is already supported, return it unchanged. Otherwise search upward first (higher intensity), then downward, through the ordered level list to find the closest available level.

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get_supported_thinking_levels​

function

get_supported_thinking_levels(model: Model) -> list[ThinkingLevel]

Return the thinking levels supported by model.

  • Non-reasoning models only support ["off"].
  • For reasoning models, levels are filtered through the model's thinking_level_map. A level mapped to None is unsupported. "xhigh" is only included when it has an explicit (non-None) mapping. All other levels are included by default when the map omits them.

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models_are_equal​

function

models_are_equal(a: Model | None, b: Model | None) -> bool

Return True if a and b refer to the same model.

Comparison is by id and provider. Returns False when either argument is None.

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