add support back for old gpt versions by supporting max_tokens (#1860)
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@@ -389,7 +389,11 @@ class LLMAPIHandlerFactory:
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@staticmethod
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def get_api_parameters(llm_config: LLMConfig | LLMRouterConfig) -> dict[str, Any]:
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params: dict[str, Any] = {"max_completion_tokens": llm_config.max_completion_tokens}
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params: dict[str, Any] = {}
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if llm_config.max_completion_tokens is not None:
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params["max_completion_tokens"] = llm_config.max_completion_tokens
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elif llm_config.max_tokens is not None:
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params["max_tokens"] = llm_config.max_tokens
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if llm_config.temperature is not None:
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params["temperature"] = llm_config.temperature
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@@ -36,7 +36,8 @@ class LLMConfigBase:
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@dataclass(frozen=True)
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class LLMConfig(LLMConfigBase):
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litellm_params: Optional[LiteLLMParams] = field(default=None)
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max_completion_tokens: int = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
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max_tokens: int | None = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
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max_completion_tokens: int | None = None
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temperature: float | None = SettingsManager.get_settings().LLM_CONFIG_TEMPERATURE
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reasoning_effort: str | None = None
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@@ -74,7 +75,8 @@ class LLMRouterConfig(LLMConfigBase):
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allowed_fails: int | None = None
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allowed_fails_policy: AllowedFailsPolicy | None = None
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cooldown_time: float | None = None
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max_completion_tokens: int = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
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max_tokens: int | None = SettingsManager.get_settings().LLM_CONFIG_MAX_TOKENS
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max_completion_tokens: int | None = None
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reasoning_effort: str | None = None
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temperature: float | None = SettingsManager.get_settings().LLM_CONFIG_TEMPERATURE
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