support baidu qianfan endpoint for LLM
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6 changed files with 426 additions and 331 deletions
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from typing import Optional
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from langflow import CustomComponent
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from langchain.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
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from langchain.llms.base import BaseLLM
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class QianfanChatEndpointComponent(CustomComponent):
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display_name: str = "QianfanChatEndpoint"
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description: str = (
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"Baidu Qianfan chat models. Get more detail from "
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"https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint."
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)
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def build_config(self):
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return {
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"model": {
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"display_name": "Model Name",
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"options": [
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"ERNIE-Bot",
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"ERNIE-Bot-turbo",
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"BLOOMZ-7B",
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"Llama-2-7b-chat",
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"Llama-2-13b-chat",
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"Llama-2-70b-chat",
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"Qianfan-BLOOMZ-7B-compressed",
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"Qianfan-Chinese-Llama-2-7B",
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"ChatGLM2-6B-32K",
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"AquilaChat-7B",
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],
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"info": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint",
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"required": True,
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},
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"qianfan_ak": {
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"display_name": "Qianfan Ak",
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"required": True,
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"password": True,
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"info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop",
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},
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"qianfan_sk": {
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"display_name": "Qianfan Sk",
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"required": True,
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"password": True,
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"info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop",
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},
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"top_p": {
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"display_name": "Top p",
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"field_type": "float",
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"info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
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"value": 0.8,
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},
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"temperature": {
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"display_name": "Temperature",
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"field_type": "float",
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"info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
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"value": 0.95,
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},
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"penalty_score": {
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"display_name": "Penalty Score",
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"field_type": "float",
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"info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
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"value": 1.0,
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},
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"endpoint": {
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"display_name": "Endpoint",
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"info": "Endpoint of the Qianfan LLM, required if custom model used.",
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},
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"code": {"show": False},
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}
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def build(
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self,
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model: str = "ERNIE-Bot-turbo",
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qianfan_ak: Optional[str] = None,
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qianfan_sk: Optional[str] = None,
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top_p: Optional[float] = None,
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temperature: Optional[float] = None,
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penalty_score: Optional[float] = None,
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endpoint: Optional[str] = None,
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) -> BaseLLM:
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try:
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output = QianfanChatEndpoint(
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model=model,
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qianfan_ak=qianfan_ak,
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qianfan_sk=qianfan_sk,
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top_p=top_p,
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temperature=temperature,
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penalty_score=penalty_score,
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endpoint=endpoint,
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)
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except Exception as e:
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raise ValueError("Could not connect to Baidu Qianfan API.") from e
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return output
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@ -0,0 +1,92 @@
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from typing import Optional
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from langflow import CustomComponent
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from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
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from langchain.llms.base import BaseLLM
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class QianfanLLMEndpointComponent(CustomComponent):
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display_name: str = "QianfanLLMEndpoint"
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description: str = (
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"Baidu Qianfan hosted open source or customized models. "
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"Get more detail from https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint"
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)
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def build_config(self):
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return {
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"model": {
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"display_name": "Model Name",
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"options": [
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"ERNIE-Bot",
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"ERNIE-Bot-turbo",
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"BLOOMZ-7B",
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"Llama-2-7b-chat",
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"Llama-2-13b-chat",
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"Llama-2-70b-chat",
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"Qianfan-BLOOMZ-7B-compressed",
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"Qianfan-Chinese-Llama-2-7B",
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"ChatGLM2-6B-32K",
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"AquilaChat-7B",
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],
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"info": "https://python.langchain.com/docs/integrations/chat/baidu_qianfan_endpoint",
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"required": True,
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},
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"qianfan_ak": {
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"display_name": "Qianfan Ak",
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"required": True,
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"password": True,
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"info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop",
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},
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"qianfan_sk": {
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"display_name": "Qianfan Sk",
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"required": True,
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"password": True,
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"info": "which you could get from https://cloud.baidu.com/product/wenxinworkshop",
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},
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"top_p": {
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"display_name": "Top p",
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"field_type": "float",
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"info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
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"value": 0.8,
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},
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"temperature": {
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"display_name": "Temperature",
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"field_type": "float",
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"info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
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"value": 0.95,
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},
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"penalty_score": {
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"display_name": "Penalty Score",
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"field_type": "float",
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"info": "Model params, only supported in ERNIE-Bot and ERNIE-Bot-turbo",
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"value": 1.0,
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},
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"endpoint": {
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"display_name": "Endpoint",
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"info": "Endpoint of the Qianfan LLM, required if custom model used.",
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},
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"code": {"show": False},
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}
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def build(
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self,
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model: str = "ERNIE-Bot-turbo",
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qianfan_ak: Optional[str] = None,
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qianfan_sk: Optional[str] = None,
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top_p: Optional[float] = None,
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temperature: Optional[float] = None,
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penalty_score: Optional[float] = None,
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endpoint: Optional[str] = None,
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) -> BaseLLM:
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try:
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output = QianfanLLMEndpoint(
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model=model,
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qianfan_ak=qianfan_ak,
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qianfan_sk=qianfan_sk,
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top_p=top_p,
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temperature=temperature,
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penalty_score=penalty_score,
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endpoint=endpoint,
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)
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except Exception as e:
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raise ValueError("Could not connect to Baidu Qianfan API.") from e
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return output
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