diff --git a/api/core/model_runtime/model_providers/x/__init__.py b/api/core/model_runtime/model_providers/x/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg b/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg deleted file mode 100644 index f8b745cb13..0000000000 --- a/api/core/model_runtime/model_providers/x/_assets/x-ai-logo.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/x/llm/__init__.py b/api/core/model_runtime/model_providers/x/llm/__init__.py deleted file mode 100644 index e69de29bb2..0000000000 diff --git a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml b/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml deleted file mode 100644 index 542149577b..0000000000 --- a/api/core/model_runtime/model_providers/x/llm/grok-beta.yaml +++ /dev/null @@ -1,63 +0,0 @@ -model: grok-beta -label: - en_US: Grok beta -model_type: llm -features: - - multi-tool-call -model_properties: - mode: chat - context_size: 131072 -parameter_rules: - - name: temperature - label: - en_US: "Temperature" - zh_Hans: "采样温度" - type: float - default: 0.7 - min: 0.0 - max: 2.0 - precision: 1 - required: true - help: - en_US: "The randomness of the sampling temperature control output. The temperature value is within the range of [0.0, 1.0]. The higher the value, the more random and creative the output; the lower the value, the more stable it is. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样温度控制输出的随机性。温度值在 [0.0, 1.0] 范围内，值越高，输出越随机和创造性；值越低，输出越稳定。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: top_p - label: - en_US: "Top P" - zh_Hans: "Top P" - type: float - default: 0.7 - min: 0.0 - max: 1.0 - precision: 1 - required: true - help: - en_US: "The value range of the sampling method is [0.0, 1.0]. The top_p value determines that the model selects tokens from the top p% of candidate words with the highest probability; when top_p is 0, this parameter is invalid. It is recommended to adjust either top_p or temperature parameters according to your needs to avoid adjusting both at the same time." - zh_Hans: "采样方法的取值范围为 [0.0,1.0]。top_p 值确定模型从概率最高的前p%的候选词中选取 tokens；当 top_p 为 0 时，此参数无效。建议根据需求调整 top_p 或 temperature 参数，避免同时调整两者。" - - - name: frequency_penalty - use_template: frequency_penalty - label: - en_US: "Frequency Penalty" - zh_Hans: "频率惩罚" - type: float - default: 0 - min: 0 - max: 2.0 - precision: 1 - required: false - help: - en_US: "Used to adjust the frequency of repeated content in automatically generated text. Positive numbers reduce repetition, while negative numbers increase repetition. After setting this parameter, if a word has already appeared in the text, the model will decrease the probability of choosing that word for subsequent generation." - zh_Hans: "用于调整自动生成文本中重复内容的频率。正数减少重复，负数增加重复。设置此参数后，如果一个词在文本中已经出现过，模型在后续生成中选择该词的概率会降低。" - - - name: user - use_template: text - label: - en_US: "User" - zh_Hans: "用户" - type: string - required: false - help: - en_US: "Used to track and differentiate conversation requests from different users." - zh_Hans: "用于追踪和区分不同用户的对话请求。" diff --git a/api/core/model_runtime/model_providers/x/llm/llm.py b/api/core/model_runtime/model_providers/x/llm/llm.py deleted file mode 100644 index 5c0680a2e7..0000000000 --- a/api/core/model_runtime/model_providers/x/llm/llm.py +++ /dev/null @@ -1,35 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from yarl import URL - -from core.model_runtime.entities.llm_entities import LLMMode, LLMResult -from core.model_runtime.entities.message_entities import ( - PromptMessage, - PromptMessageTool, -) -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class XAILargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - return super()._invoke(model, credentials, prompt_messages, model_parameters, tools, stop, stream) - - def validate_credentials(self, model: str, credentials: dict) -> None: - self._add_custom_parameters(credentials) - super().validate_credentials(model, credentials) - - @staticmethod - def _add_custom_parameters(credentials) -> None: - credentials["endpoint_url"] = str(URL(credentials["api_base"]) / "v1") - credentials["mode"] = LLMMode.CHAT.value diff --git a/api/core/model_runtime/model_providers/x/x.py b/api/core/model_runtime/model_providers/x/x.py deleted file mode 100644 index fc4ed822b5..0000000000 --- a/api/core/model_runtime/model_providers/x/x.py +++ /dev/null @@ -1,25 +0,0 @@ -import logging - -from core.model_runtime.entities.model_entities import ModelType -from core.model_runtime.errors.validate import CredentialsValidateFailedError -from core.model_runtime.model_providers.__base.model_provider import ModelProvider - -logger = logging.getLogger(__name__) - - -class XAIProvider(ModelProvider): - def validate_provider_credentials(self, credentials: dict) -> None: - """ - Validate provider credentials - if validate failed, raise exception - - :param credentials: provider credentials, credentials form defined in `provider_credential_schema`. - """ - try: - model_instance = self.get_model_instance(ModelType.LLM) - model_instance.validate_credentials(model="grok-beta", credentials=credentials) - except CredentialsValidateFailedError as ex: - raise ex - except Exception as ex: - logger.exception(f"{self.get_provider_schema().provider} credentials validate failed") - raise ex \ No newline at end of file diff --git a/api/core/model_runtime/model_providers/x/x.yaml b/api/core/model_runtime/model_providers/x/x.yaml deleted file mode 100644 index 56a401c080..0000000000 --- a/api/core/model_runtime/model_providers/x/x.yaml +++ /dev/null @@ -1,38 +0,0 @@ -provider: x -label: - en_US: xAI -description: - en_US: xAI is a company working on building artificial intelligence to accelerate human scientific discovery. We are guided by our mission to advance our collective understanding of the universe. -icon_small: - en_US: x-ai-logo.svg -icon_large: - en_US: x-ai-logo.svg -help: - title: - en_US: Get your token from xAI - zh_Hans: 从 xAI 获取 token - url: - en_US: https://x.ai/api -supported_model_types: - - llm -configurate_methods: - - predefined-model -provider_credential_schema: - credential_form_schemas: - - variable: api_key - label: - en_US: API Key - type: secret-input - required: true - placeholder: - zh_Hans: 在此输入您的 API Key - en_US: Enter your API Key - - variable: api_base - label: - en_US: API Base - type: text-input - required: false - default: https://api.x.ai - placeholder: - zh_Hans: 在此输入您的 API Base - en_US: Enter your API Base