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Merge pull request #43132 from BerriAI/litellm_backport_1_100_x_gpt6_budget_0924
chore(release): backport #39631, #39729, #40639 to stable/1.100.x and cut 1.100.3
This commit is contained in:
yuneng-jiang
GitHub
commit
385266c14d
14 changed files with 224 additions and 105 deletions
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@ -7,6 +7,7 @@ from litellm.exceptions import UnsupportedParamsError
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from litellm.llms.openai.chat.gpt_5_transformation import (
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OpenAIGPT5Config,
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_get_effort_level,
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is_gpt_reasoning_series_name,
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)
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from litellm.types.llms.openai import AllMessageValues
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@ -35,26 +36,7 @@ class AzureOpenAIGPT5Config(AzureOpenAIConfig, OpenAIGPT5Config):
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@classmethod
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def is_model_gpt_5_model(cls, model: str) -> bool:
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"""Check if the Azure model string refers to a gpt-5 variant.
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Accepts both explicit gpt-5 model names and the ``gpt5_series/`` prefix
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used for manual routing.
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"""
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# The gpt-5-chat* family (gpt-5-chat, gpt-5-chat-latest, gpt-5-chat-2025-08-07,
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# …) are regular chat models: they support temperature and tool_choice but NOT
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# reasoning_effort. They must NOT be routed through the GPT-5 reasoning path.
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#
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# Versioned chat models such as gpt-5.3-chat and gpt-5.1-chat ARE reasoning
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# models and must stay on the GPT-5 path. The distinguishing feature is that
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# the gpt-5-chat family has a literal "-chat" immediately after "gpt-5"
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# (i.e. "gpt-5-chat…"), while versioned chat models interpose a minor version
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# number (i.e. "gpt-5.<digit>-chat").
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#
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# Using a startswith("gpt-5-chat") prefix check on the normalized name (rather
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# than a substring check) makes this boundary explicit and avoids any ambiguity
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# if future model names coincidentally contain "gpt-5-chat" as an interior run.
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_normalized: Final = model.split("/")[-1] # strip provider prefix, e.g. "azure/"
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return ("gpt-5" in model and not _normalized.startswith("gpt-5-chat")) or "gpt5_series" in model
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return is_gpt_reasoning_series_name(model) or "gpt5_series" in model
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def get_supported_openai_params(self, model: str) -> list[str]:
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"""Get supported parameters for Azure OpenAI GPT-5 models.
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@ -11,6 +11,7 @@ from litellm.litellm_core_utils.prompt_templates.factory import (
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convert_to_azure_openai_messages,
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)
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from litellm.llms.base_llm.chat.transformation import BaseLLMException
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from litellm.llms.openai.chat.gpt_5_transformation import GPT_REASONING_SERIES_MARKERS
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from litellm.types.llms.azure import (
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API_VERSION_MONTH_SUPPORTED_RESPONSE_FORMAT,
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API_VERSION_YEAR_SUPPORTED_RESPONSE_FORMAT,
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@ -123,7 +124,7 @@ class AzureOpenAIConfig(BaseConfig):
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name family needs the rename, including the ``gpt-5-chat*`` models that are excluded from
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the reasoning path by https://github.com/BerriAI/litellm/issues/13781.
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"""
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return "gpt-5" in model or "gpt5_series" in model
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return any(marker in model for marker in GPT_REASONING_SERIES_MARKERS) or "gpt5_series" in model
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def _is_response_format_supported_model(self, model: str) -> bool:
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"""
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@ -61,6 +61,14 @@ def _get_effort_level(value: str | dict | None) -> str | None:
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return None
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GPT_REASONING_SERIES_MARKERS: Final = ("gpt-5", "gpt-6")
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def is_gpt_reasoning_series_name(model: str) -> bool:
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normalized: Final = model.split("/")[-1]
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return any(marker in model for marker in GPT_REASONING_SERIES_MARKERS) and not normalized.startswith("gpt-5-chat")
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class OpenAIGPT5Config(OpenAIGPTConfig):
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"""Configuration for gpt-5 models including GPT-5-Codex variants.
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@ -73,21 +81,7 @@ class OpenAIGPT5Config(OpenAIGPTConfig):
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@classmethod
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def is_model_gpt_5_model(cls, model: str) -> bool:
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# The gpt-5-chat* family (gpt-5-chat, gpt-5-chat-latest, gpt-5-chat-2025-08-07,
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# …) are regular chat models: they support temperature and tool_choice but NOT
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# reasoning_effort. They must NOT be routed through the GPT-5 reasoning path.
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#
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# Versioned chat models such as gpt-5.3-chat and gpt-5.1-chat ARE reasoning
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# models and must stay on the GPT-5 path. The distinguishing feature is that
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# the gpt-5-chat family has a literal "-chat" immediately after "gpt-5"
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# (i.e. "gpt-5-chat…"), while versioned chat models interpose a minor version
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# number (i.e. "gpt-5.<digit>-chat").
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#
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# Using a startswith("gpt-5-chat") prefix check on the normalized name (rather
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# than a substring check) makes this boundary explicit and avoids any ambiguity
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# if future model names coincidentally contain "gpt-5-chat" as an interior run.
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_normalized: Final = model.split("/")[-1] # strip provider prefix, e.g. "openai/"
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return "gpt-5" in model and not _normalized.startswith("gpt-5-chat")
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return is_gpt_reasoning_series_name(model)
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@classmethod
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def is_model_gpt_5_search_model(cls, model: str) -> bool:
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@ -122,6 +116,8 @@ class OpenAIGPT5Config(OpenAIGPTConfig):
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def is_model_gpt_5_4_plus_model(cls, model: str) -> bool:
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"""Check if the model is gpt-5.4 or newer (5.4, 5.5, 5.6, etc., including pro)."""
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model_name: Final = model.split("/")[-1]
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if model_name.startswith("gpt-6"):
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return True
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if not model_name.startswith("gpt-5."):
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return False
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try:
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@ -14,6 +14,7 @@ from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response impo
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)
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from litellm.litellm_core_utils.url_utils import encode_url_path_segment
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from litellm.llms.base_llm.responses.transformation import BaseResponsesAPIConfig
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from litellm.llms.openai.chat.gpt_5_transformation import is_gpt_reasoning_series_name
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from litellm.secret_managers.main import get_secret_str
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from litellm.types.llms.openai import *
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from litellm.types.responses.main import *
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@ -54,7 +55,7 @@ class OpenAIResponsesAPIConfig(BaseResponsesAPIConfig):
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parts: Final = model.split("/")
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if len(parts) > 1 and parts[0] not in ("openai",):
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return False
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return "gpt-5" in model and "gpt-5-chat" not in model
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return is_gpt_reasoning_series_name(model)
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@staticmethod
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def _supports_reasoning_effort_none(model: str) -> bool:
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@ -36,6 +36,7 @@ from litellm.proxy.common_utils.timezone_utils import (
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get_budget_reset_settings,
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)
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from litellm.proxy.common_utils.user_api_key_cache import (
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end_user_cache_key,
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model_access_group_cache_key,
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model_access_group_spend_counter_key,
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tag_cache_key,
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@ -175,6 +176,21 @@ def _model_access_group_cache_keys(row: _ModelAccessGroupRow) -> tuple[str, ...]
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return (model_access_group_cache_key(row.access_group_name),)
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def _enduser_counter_key(row: _EndUserRow) -> str:
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return f"spend:end_user:{row.user_id}"
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def _enduser_cache_keys(row: _EndUserRow) -> tuple[str, ...]:
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return (end_user_cache_key(row.user_id),)
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def _enduser_carried_spend(row: _EndUserRow, caps: Mapping[str, float]) -> float:
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if not caps:
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return 0.0
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effective_budget_id = row.budget_id or litellm.max_end_user_budget_id
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return _carried_spend(row.spend, caps.get(effective_budget_id) if effective_budget_id is not None else None)
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def _budget_link_where(
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budget_ids: Sequence[str],
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extra: Mapping[str, object] = MappingProxyType({}),
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@ -206,33 +222,31 @@ def _queue_budget_linked_resets(
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def _queue_enduser_resets(writes: LinkedSpendResetWrites, cascade: "_BudgetCascade") -> None:
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"""End users are matched by id rather than budget link: rows with no
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budget_id ride the default budget tier (litellm.max_end_user_budget_id).
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Zero-before-decrement ordering matters here too (see
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_queue_budget_linked_resets)."""
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if not cascade.rollover_caps:
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if cascade.endusers:
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writes.queue_spend_zero(
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where={"user_id": {"in": [row.user_id for row in cascade.endusers]}}
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) # mutable-ok: prisma where filter must be a dict
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"""End users reset on the budget link like every other gated table, plus a
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NULL-budget_id branch: rows created implicitly persist no link and ride the
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default tier (litellm.max_end_user_budget_id).
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Matching on the link rather than enumerating user ids keeps a statement's
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bind count proportional to the expiring tiers instead of the customer
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population, which past ~32,700 dependents exceeds PostgreSQL's per-statement
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bind ceiling and wedges the cascade permanently (#40564).
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"""
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_queue_budget_linked_resets(writes, cascade, extra=_SPENT_ROWS_WHERE)
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default_budget_id: Final = litellm.max_end_user_budget_id
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if default_budget_id is None or default_budget_id not in cascade.budget_ids:
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return
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tiered: Final = tuple((row.budget_id or litellm.max_end_user_budget_id, row.user_id) for row in cascade.endusers)
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for budget_id, cap in cascade.rollover_caps.items():
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if not (
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user_ids := [uid for bid, uid in tiered if bid == budget_id]
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): # mutable-ok: prisma "in" filter takes a list
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continue
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cap: Final = cascade.rollover_caps.get(default_budget_id)
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if cap is None:
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writes.queue_spend_zero(
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where={"user_id": {"in": user_ids}, "spend": {"lte": cap}}
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where={"budget_id": None, **_SPENT_ROWS_WHERE}
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) # mutable-ok: prisma where filter must be a dict
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writes.queue_spend_decrement(
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where={"user_id": {"in": user_ids}, "spend": {"gt": cap}}, amount=cap
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) # mutable-ok: prisma where filter must be a dict
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plain: Final = [
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uid for bid, uid in tiered if bid is None or bid not in cascade.rollover_caps
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] # mutable-ok: prisma "in" filter takes a list
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if plain:
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writes.queue_spend_zero(where={"user_id": {"in": plain}}) # mutable-ok: prisma where filter must be a dict
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return
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writes.queue_spend_zero(
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where={"budget_id": None, "spend": {"gt": 0, "lte": cap}}
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) # mutable-ok: prisma where filter must be a dict
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writes.queue_spend_decrement(
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where={"budget_id": None, "spend": {"gt": cap}}, amount=cap
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) # mutable-ok: prisma where filter must be a dict
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@dataclass(frozen=True, slots=True)
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@ -648,6 +662,7 @@ class ResetBudgetJob:
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if _rollover_enabled()
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else {} # mutable-ok: empty sentinel immediately frozen by MappingProxyType
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)
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endusers: Final[tuple[_EndUserRow, ...]] = await self._collect_endusers_to_reset(budget_ids)
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return _BudgetCascade(
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budgets=tuple(budgets_to_reset),
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budget_ids=budget_ids,
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@ -659,7 +674,7 @@ class ResetBudgetJob:
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for b in budgets_to_reset
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if b.budget_id is not None and b.budget_duration is not None
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),
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endusers=await self._collect_endusers_to_reset(budget_ids),
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endusers=endusers,
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counter_resets=(
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*(
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(_team_membership_counter_key(row), _row_carried_spend(row, rollover_caps))
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@ -672,6 +687,7 @@ class ResetBudgetJob:
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(_model_access_group_counter_key(row), _row_carried_spend(row, rollover_caps))
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for row in model_access_groups
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),
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*((_enduser_counter_key(row), _enduser_carried_spend(row, rollover_caps)) for row in endusers),
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),
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rollover_caps=rollover_caps,
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cache_keys=(
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@ -680,6 +696,7 @@ class ResetBudgetJob:
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*(key for row in orgs for key in _org_cache_keys(row)),
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*(key for row in tags for key in _tag_cache_keys(row)),
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*(key for row in model_access_groups for key in _model_access_group_cache_keys(row)),
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*(key for row in endusers for key in _enduser_cache_keys(row)),
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),
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)
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@ -1,6 +1,6 @@
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[project]
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name = "litellm"
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version = "1.100.2"
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version = "1.100.3"
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description = "Library to easily interface with LLM API providers"
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readme = "README.md"
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requires-python = ">=3.10, <3.15"
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@ -311,7 +311,7 @@ members = ["enterprise", "litellm-proxy-extras"]
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profile = "black"
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[tool.commitizen]
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version = "1.100.2"
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version = "1.100.3"
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version_files = [
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"pyproject.toml:^version",
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]
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|
|
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@ -401,7 +401,7 @@ async def test_reset_budget_endusers_are_zeroed_with_the_budget_window_advance()
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enduser_writes = [c for c in batch_calls if c["table"] == "enduser"]
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assert len(enduser_writes) == 1
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assert enduser_writes[0]["where"]["user_id"]["in"] == [f"user{i}" for i in range(1, 7)]
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assert enduser_writes[0]["where"] == {"budget_id": {"in": ["budget1"]}, "spend": {"gt": 0}}
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assert enduser_writes[0]["data"] == {"spend": 0}
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budget_writes = [c for c in batch_calls if c["table"] == "budget"]
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@ -602,7 +602,7 @@ async def test_reset_budget_continues_other_categories_on_failure():
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assert len([c for c in batch_calls if c["table"] == "team_membership"]) == 1
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enduser_writes = [c for c in batch_calls if c["table"] == "enduser"]
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assert len(enduser_writes) == 1
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assert enduser_writes[0]["where"] == {"user_id": {"in": ["user1"]}}
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assert enduser_writes[0]["where"] == {"budget_id": {"in": ["budget1"]}, "spend": {"gt": 0}}
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assert enduser_writes[0]["data"] == {"spend": 0}
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# Check the new batch write path: 2 keys + 1 user (user1 failed) + 2 teams.
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@ -1031,7 +1031,7 @@ async def test_service_logger_endusers_success():
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enduser_writes = [c for c in batch_calls if c["table"] == "enduser"]
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assert len(enduser_writes) == 1
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assert enduser_writes[0]["where"] == {"user_id": {"in": ["user1", "user2"]}}
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assert enduser_writes[0]["where"] == {"budget_id": {"in": ["budget1"]}, "spend": {"gt": 0}}
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proxy_logging_obj.service_logging_obj.async_service_success_hook.assert_called_once()
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(
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|
|
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|
@ -336,3 +336,15 @@ class TestAzureResolvesTheDeclaredDefaultEffort:
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drop_params=True,
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)
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assert ("temperature" in mapped) is temperature_survives
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def test_azure_gpt_6_astra_takes_the_reasoning_series_request_shape():
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params = litellm.get_optional_params(
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model="gpt-6-astra",
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custom_llm_provider="azure",
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max_tokens=100,
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reasoning_effort="max",
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)
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assert params["max_completion_tokens"] == 100
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assert "max_tokens" not in params
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assert params["reasoning_effort"] == "max"
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|
|
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|
|
@ -1613,6 +1613,8 @@ class TestResponsesSurfaceSharesTheEffortRule:
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("gpt-5.6-sol", None, False),
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("gpt-5.6-terra", "none", True),
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("gpt-5.6-terra", "medium", False),
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("gpt-6-astra", None, False),
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("gpt-6-astra", "low", False),
|
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],
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)
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def test_temperature_follows_the_resolved_effort(
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|
|
|
|||
|
|
@ -1505,3 +1505,17 @@ class TestACatalogueOlderThanTheCodeDoesNotStripTemperature:
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drop_params=True,
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)
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assert "temperature" not in mapped
|
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def test_gpt_6_astra_takes_the_reasoning_series_request_shape():
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params = litellm.get_optional_params(
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model="gpt-6-astra",
|
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custom_llm_provider="openai",
|
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max_tokens=100,
|
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reasoning_effort="max",
|
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verbosity="low",
|
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)
|
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assert params["max_completion_tokens"] == 100
|
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assert "max_tokens" not in params
|
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assert params["reasoning_effort"] == "max"
|
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assert params["verbosity"] == "low"
|
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|
|
|
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|
|
@ -41,6 +41,8 @@ from litellm.llms.azure.chat.gpt_5_transformation import AzureOpenAIGPT5Config
|
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|
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# Models that MUST be classified as GPT-5 (routed through GPT-5 reasoning path)
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GPT5_MODELS = [
|
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"gpt-6-astra",
|
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"openai/gpt-6-astra",
|
||||
"gpt-5",
|
||||
"gpt-5.1",
|
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"gpt-5.2",
|
||||
|
|
@ -120,6 +122,8 @@ class TestOpenAIGPT5ConfigIsModelGpt5Model:
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# /v1/responses bridge (when reasoning_effort is set and tools are passed) on
|
||||
# is_model_gpt_5_4_plus_model, so the gpt-5.6 family must land on the True side.
|
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GPT5_4_PLUS_MODELS = [
|
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"gpt-6-astra",
|
||||
"openai/gpt-6-astra",
|
||||
"gpt-5.4",
|
||||
"gpt-5.5",
|
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"gpt-5.5-pro",
|
||||
|
|
|
|||
|
|
@ -4,7 +4,7 @@ import sys
|
|||
import types
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from datetime import time as dt_time
|
||||
from typing import Any, Dict, List
|
||||
from typing import Any, Dict, Final, List
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
import httpx
|
||||
|
|
@ -403,7 +403,7 @@ def test_reset_budget_for_enduser(reset_budget_job, mock_prisma_client):
|
|||
{
|
||||
"table": "enduser",
|
||||
"op": "update_many",
|
||||
"where": {"user_id": {"in": ["test-enduser-1"]}},
|
||||
"where": {"budget_id": {"in": ["test-budget-1"]}, "spend": {"gt": 0}},
|
||||
"data": {"spend": 0},
|
||||
}
|
||||
]
|
||||
|
|
@ -504,7 +504,7 @@ def test_reset_budget_all(reset_budget_job, mock_prisma_client):
|
|||
{
|
||||
"table": "enduser",
|
||||
"op": "update_many",
|
||||
"where": {"user_id": {"in": ["test-enduser-1"]}},
|
||||
"where": {"budget_id": {"in": ["test-budget-1"]}, "spend": {"gt": 0}},
|
||||
"data": {"spend": 0},
|
||||
}
|
||||
]
|
||||
|
|
@ -524,6 +524,7 @@ _LINKED_TABLE_CASES = [
|
|||
("org", {"budget_id": {"in": ["7d-budget-tier"]}, "spend": {"gt": 0}}),
|
||||
("tag", {"budget_id": {"in": ["7d-budget-tier"]}, "spend": {"gt": 0}}),
|
||||
("model_access_group", {"budget_id": {"in": ["7d-budget-tier"]}, "spend": {"gt": 0}}),
|
||||
("enduser", {"budget_id": {"in": ["7d-budget-tier"]}, "spend": {"gt": 0}}),
|
||||
]
|
||||
|
||||
|
||||
|
|
@ -553,6 +554,48 @@ def test_budget_table_reset_zeroes_spend_on_every_linked_table(
|
|||
assert writes[0]["data"] == {"spend": 0}
|
||||
|
||||
|
||||
_POSTGRES_MAX_BIND_VARIABLES: Final = 32767
|
||||
|
||||
|
||||
def _bind_count(where: Dict[str, Any]) -> int:
|
||||
"""Bind variables one prisma where-clause compiles to: each scalar is one
|
||||
placeholder and an ``in`` list contributes one per element."""
|
||||
return sum(len(value["in"]) if isinstance(value, dict) and "in" in value else 1 for value in where.values())
|
||||
|
||||
|
||||
@pytest.mark.parametrize("population", [3, 40_000], ids=["small", "over-pg-bind-ceiling"])
|
||||
def test_enduser_reset_bind_count_does_not_scale_with_population(reset_budget_job, mock_prisma_client, population):
|
||||
"""Regression for #40564.
|
||||
|
||||
Enumerating every dependent user id put one bind variable per customer into
|
||||
a single prepared statement. Past PostgreSQL's ceiling the statement could
|
||||
not be parsed at all, so the whole atomic cascade rolled back,
|
||||
budget_reset_at never advanced, and the tier stayed due on every later tick
|
||||
forever. Matching on the budget link keeps the statement the same size no
|
||||
matter how many customers share a tier.
|
||||
"""
|
||||
budget = _budget_row(budget_id="shared-tier", budget_duration="1d")
|
||||
mock_prisma_client.data["budget"] = [budget]
|
||||
mock_prisma_client.data["enduser"] = [
|
||||
types.SimpleNamespace(
|
||||
spend=1.0,
|
||||
litellm_budget_table=budget,
|
||||
user_id=f"cust-{index:08d}",
|
||||
budget_id="shared-tier",
|
||||
)
|
||||
for index in range(population)
|
||||
]
|
||||
|
||||
asyncio.run(reset_budget_job.reset_budget_for_litellm_budget_table())
|
||||
|
||||
writes = _batch_writes(mock_prisma_client, "enduser")
|
||||
assert [_bind_count(write["where"]) for write in writes] == [2], (
|
||||
f"the cascade must not enumerate {population} user ids: past "
|
||||
f"{_POSTGRES_MAX_BIND_VARIABLES} binds PostgreSQL refuses the statement, got {writes[:1]}"
|
||||
)
|
||||
assert _batch_writes(mock_prisma_client, "budget")[0]["data"]["budget_reset_at"] is not None
|
||||
|
||||
|
||||
def test_budget_table_reset_writes_nothing_when_no_budget_is_due(reset_budget_job, mock_prisma_client):
|
||||
"""Nothing due means no transaction is opened at all."""
|
||||
asyncio.run(reset_budget_job.reset_budget_for_litellm_budget_table())
|
||||
|
|
@ -720,14 +763,22 @@ def test_reset_budget_resets_endusers_with_null_budget_id(reset_budget_job, mock
|
|||
|
||||
asyncio.run(reset_budget_job.reset_budget_for_litellm_budget_table())
|
||||
|
||||
# Both end users are zeroed by the same committed statement.
|
||||
enduser_writes = _batch_writes(mock_prisma_client, "enduser")
|
||||
assert len(enduser_writes) == 1, f"Expected a single enduser write, got {enduser_writes}"
|
||||
assert set(enduser_writes[0]["where"]["user_id"]["in"]) == {
|
||||
"enduser-explicit",
|
||||
"enduser-implicit",
|
||||
}
|
||||
assert enduser_writes[0]["data"] == {"spend": 0}
|
||||
# Both end users are zeroed: the linked rows on the tier's budget_id, the
|
||||
# implicit ones on the NULL branch that stands in for the default tier.
|
||||
assert _batch_writes(mock_prisma_client, "enduser") == [
|
||||
{
|
||||
"table": "enduser",
|
||||
"op": "update_many",
|
||||
"where": {"budget_id": {"in": [default_budget_id]}, "spend": {"gt": 0}},
|
||||
"data": {"spend": 0},
|
||||
},
|
||||
{
|
||||
"table": "enduser",
|
||||
"op": "update_many",
|
||||
"where": {"budget_id": None, "spend": {"gt": 0}},
|
||||
"data": {"spend": 0},
|
||||
},
|
||||
]
|
||||
|
||||
# Verify find_many was called to fetch NULL-budget-id end users
|
||||
find_many_calls = mock_prisma_client.db.litellm_endusertable.find_many_calls
|
||||
|
|
@ -1495,6 +1546,32 @@ def test_budget_table_reset_invalidates_every_tag_not_just_the_first(reset_budge
|
|||
assert deleted == {"tag:tenant-a", "tag:tenant-b", "tag:tenant-c"}
|
||||
|
||||
|
||||
def test_budget_table_reset_invalidates_enduser_counter_and_cache(reset_budget_job, mock_prisma_client, monkeypatch):
|
||||
"""When an end user's budget resets, its Redis spend counter is zeroed and its management cache is evicted."""
|
||||
counter_cache = _make_counter_invalidation_job(monkeypatch)
|
||||
budget = _budget_row(budget_id="budget-1")
|
||||
mock_prisma_client.data["budget"] = [budget]
|
||||
test_enduser = type(
|
||||
"LiteLLM_EndUserTable",
|
||||
(),
|
||||
{
|
||||
"spend": 20.0,
|
||||
"litellm_budget_table": budget,
|
||||
"budget_id": "budget-1",
|
||||
"user_id": "customer-42",
|
||||
},
|
||||
)
|
||||
mock_prisma_client.data["enduser"] = [test_enduser]
|
||||
|
||||
asyncio.run(reset_budget_job.reset_budget_for_litellm_budget_table())
|
||||
|
||||
counter_cache.in_memory_cache.set_cache.assert_any_call(key="spend:end_user:customer-42", value=0.0, ttl=60)
|
||||
counter_cache.redis_cache.async_set_cache.assert_any_await(key="spend:end_user:customer-42", value=0.0, ttl=60)
|
||||
deleted = {call.kwargs.get("key") for call in counter_cache.user_api_key_cache.async_delete_cache.await_args_list}
|
||||
assert "end_user_id:customer-42" in deleted
|
||||
|
||||
|
||||
|
||||
def test_budget_table_reset_commits_even_when_cache_eviction_fails(reset_budget_job, mock_prisma_client, monkeypatch):
|
||||
"""Eviction runs after the commit, so a broken cache cannot undo the write."""
|
||||
counter_cache = _make_counter_invalidation_job(monkeypatch)
|
||||
|
|
@ -3017,13 +3094,13 @@ def test_budget_cascade_carries_enduser_overage_when_rollover_enabled(
|
|||
assert {
|
||||
"table": "enduser",
|
||||
"op": "update_many",
|
||||
"where": {"user_id": {"in": ["enduser-roll"]}, "spend": {"gt": 10.0}},
|
||||
"where": {"budget_id": "budget-roll", "spend": {"gt": 10.0}},
|
||||
"data": {"spend": {"decrement": 10.0}},
|
||||
} in enduser_writes
|
||||
assert {
|
||||
"table": "enduser",
|
||||
"op": "update_many",
|
||||
"where": {"user_id": {"in": ["enduser-roll"]}, "spend": {"lte": 10.0}},
|
||||
"where": {"budget_id": "budget-roll", "spend": {"gt": 0, "lte": 10.0}},
|
||||
"data": {"spend": 0},
|
||||
} in enduser_writes
|
||||
|
||||
|
|
|
|||
|
|
@ -784,6 +784,19 @@ def test_responses_api_bridge_check_gpt_5_4_tools_plus_reasoning_routes_to_respo
|
|||
assert model_info.get("mode") == "responses"
|
||||
|
||||
|
||||
def test_responses_api_bridge_check_gpt_6_astra_tools_with_default_reasoning_routes_to_responses():
|
||||
from litellm.main import responses_api_bridge_check
|
||||
|
||||
model_info, model = responses_api_bridge_check(
|
||||
model="gpt-6-astra",
|
||||
custom_llm_provider="openai",
|
||||
tools=[{"type": "function", "function": {"name": "get_capital"}}],
|
||||
)
|
||||
|
||||
assert model == "gpt-6-astra"
|
||||
assert model_info.get("mode") == "responses"
|
||||
|
||||
|
||||
def test_responses_api_bridge_check_gpt_5_5_tools_plus_reasoning_routes_to_responses():
|
||||
"""gpt-5.5+ with both tools and reasoning_effort should route to Responses API."""
|
||||
from litellm.main import responses_api_bridge_check
|
||||
|
|
|
|||
50
uv.lock
generated
50
uv.lock
generated
|
|
@ -10,7 +10,7 @@ resolution-markers = [
|
|||
]
|
||||
|
||||
[options]
|
||||
exclude-newer = "2026-08-26T18:33:25.773031Z"
|
||||
exclude-newer = "2026-09-22T03:39:38.223725Z"
|
||||
exclude-newer-span = "P3D"
|
||||
|
||||
[manifest]
|
||||
|
|
@ -315,16 +315,16 @@ vertex = [
|
|||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.13.0"
|
||||
version = "4.14.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
|
||||
{ name = "idna" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/61/cc/a381afa6efea9f496eff839d4a6a1aed3bfafc7b3ab4b0d1b243a12573dd/anyio-4.14.2.tar.gz", hash = "sha256:cfa139f3ed1a23ee8f88a145ddb5ac7605b8bbfd8592baacd7ce3d8bb4313c7f", size = 260176, upload-time = "2026-07-12T20:29:07.082Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/da/35/f2287558c17e29fafc8ef3daf819bb9834061cfa43bff8014f7df7f63bdc/anyio-4.14.2-py3-none-any.whl", hash = "sha256:9f505dda5ac9f0c8309b5e8bd445a8c2bf7246f3ce950121e45ea15bc41d1494", size = 125813, upload-time = "2026-07-12T20:29:05.763Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -2373,14 +2373,14 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "gitpython"
|
||||
version = "3.1.58"
|
||||
version = "3.1.60"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "gitdb" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/26/d6/5f358ff283325580c2003a6d953aea18cfe10ae87b46f5ebc80fa3a386dc/gitpython-3.1.58.tar.gz", hash = "sha256:621416df10ef3fd0e19fabf9172ddeed0fa704d353d04f194eec56a625a95b22", size = 228498, upload-time = "2026-08-04T15:05:49.47Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/84/14/e6b1a48d831755a53c2029351fcef82e70db4a08f338daefe29d8d0cf31c/gitpython-3.1.60.tar.gz", hash = "sha256:e936431879fa85581b4311fa63492ea52251909e2d655b6529c704c904ddcc24", size = 230793, upload-time = "2026-08-25T18:33:46.102Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/0c/9d8752098bc442f0726e64aa6135940b3a96809915d1aa4206c1bb97881d/gitpython-3.1.58-py3-none-any.whl", hash = "sha256:d331e722577f0fd7fc1f857419b3ecc07af66282b933d2a4d95f84a042fdd50f", size = 220183, upload-time = "2026-08-04T15:05:48.025Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/71/63/ba28697918b7c190af9f3f21940d03e8814e25dd4ddd39d6929f3a553995/gitpython-3.1.60-py3-none-any.whl", hash = "sha256:39548bffb8fa0f3a548133348868bb4838e79d73283052207dc97781a569b6b4", size = 221893, upload-time = "2026-08-25T18:33:44.75Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -4266,7 +4266,7 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.100.2"
|
||||
version = "1.100.3"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "aiohttp" },
|
||||
|
|
@ -7560,14 +7560,14 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "pypdf"
|
||||
version = "6.15.0"
|
||||
version = "6.16.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/17/17/ee75a92718ec7212de831e71454d702225aa5e474a805cce169806044453/pypdf-6.15.0.tar.gz", hash = "sha256:d39c4d955a76409284a905e2d65b40076d77ab76129e0faaeeb6612403ecfc79", size = 6993794, upload-time = "2026-08-06T13:06:49.929Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b6/5a/df92d1c1ef8806ca28f20f978ee059894868d93de797a7e2edebe7fe1a43/pypdf-6.16.1.tar.gz", hash = "sha256:c4d1b43ddae921387321cf63936cd16a7743b91d2da92f165c149a195c972ba9", size = 7003737, upload-time = "2026-08-14T12:24:04.531Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/af/72/ce3067ac31e214a66388159f8462ddb8c13dd00170f24d555a1f1ae8ee91/pypdf-6.15.0-py3-none-any.whl", hash = "sha256:14e001d6504822cb1ca9c7ed9a69bccb320f59b320730f55af804361abe4d5ee", size = 378123, upload-time = "2026-08-06T13:06:47.709Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/33/a1/724b18d6757ab7253a8fecd3a430eb8d980ed26872ba16651e7b5ddfc63f/pypdf-6.16.1-py3-none-any.whl", hash = "sha256:63fec31c4092ae50b6729beedcb469055b60d20c834bde1c402df241f371f644", size = 382924, upload-time = "2026-08-14T12:24:02.854Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -8959,11 +8959,11 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "soupsieve"
|
||||
version = "2.8.4"
|
||||
version = "2.9"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/47/2c/0a5f6f8ee0d5589e48c7640213ed5175d52cf540a06725b628cc1a45d6ce/soupsieve-2.8.4.tar.gz", hash = "sha256:e121fd02e975c695e4e9e8774a5ee35d74714b59307868dcc5319ad2d9e3328e", size = 121110, upload-time = "2026-05-24T13:55:57.154Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/80/f1/93422647dd7e461f23d254e6b2bfa687a85b53aeb4903fcdbb74474d4584/soupsieve-2.9.tar.gz", hash = "sha256:acee8417325c5653e1377dc31eccad59eb82cbc65942afe6174c53b3aaad63fc", size = 122122, upload-time = "2026-07-19T01:35:18.425Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/5e/f5/0c41cb68dcae6b7de4fac4188a3a9589e21fb31df21ea3a2e888db95e6c9/soupsieve-2.8.4-py3-none-any.whl", hash = "sha256:e7e6b0769c8f51ed59acab6e994b00621096cfb1c640a7509295987388fbaf65", size = 37304, upload-time = "2026-05-24T13:55:55.406Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7b/d6/3185ab5ad1280319b31986898f3206dd7227cd75e293d4dba2a5e6bf27a0/soupsieve-2.9-py3-none-any.whl", hash = "sha256:a2b2c76d67df2382d245409fd71e321a571717e58463efa32ace87dcadac2c12", size = 37387, upload-time = "2026-07-19T01:35:17.106Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -9437,19 +9437,19 @@ wheels = [
|
|||
|
||||
[[package]]
|
||||
name = "tornado"
|
||||
version = "6.5.7"
|
||||
version = "6.5.8"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/64/24/95ec527ad67b76d59299e5465b3935d05e4294b7e0290a3924b7487df30b/tornado-6.5.7.tar.gz", hash = "sha256:66c513a76cda70d53907bc27cf1447557699c2e95aa48ba27a442ff61c3ddfc2", size = 519252, upload-time = "2026-06-08T17:34:51.232Z" }
|
||||
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]
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|
||||
[[package]]
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue