docs: Fix ChatBaichuan, QianfanChatEndpoint, ChatSparkLLM, ChatZhipuAI docs (#25265)

- **Description:** Fix some chat models docs, include:
  - ChatBaichuan
  - QianfanChatEndpoint
  - ChatSparkLLM
  - ChatZhipuAI
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maang-h 2024-08-12 04:23:55 +08:00 committed by GitHub
parent 43deed2a95
commit bc60cddc1b
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4 changed files with 10 additions and 9 deletions

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@ -206,7 +206,7 @@ class ChatBaichuan(BaseChatModel):
Key init args client params:
api_key: Optional[str]
MiniMax API key. If not passed in will be read from env var BAICHUAN_API_KEY.
Baichuan API key. If not passed in will be read from env var BAICHUAN_API_KEY.
base_url: Optional[str]
Base URL for API requests.

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@ -200,7 +200,7 @@ class QianfanChatEndpoint(BaseChatModel):
("system", "你是一名专业的翻译家,可以将用户的中文翻译为英文。"),
("human", "我喜欢编程。"),
]
qianfan_chat.invoke(message)
qianfan_chat.invoke(messages)
.. code-block:: python
@ -219,6 +219,7 @@ class QianfanChatEndpoint(BaseChatModel):
.. code-block:: python
stream = chat.stream(messages)
full = next(stream)
for chunk in stream:
full += chunk

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@ -126,9 +126,9 @@ class ChatSparkLLM(BaseChatModel):
from langchain_community.chat_models import ChatSparkLLM
chat = MiniMaxChat(
api_key=api_key,
api_secret=ak,
chat = ChatSparkLLM(
api_key="your-api-key",
api_secret="your-api-secret",
model='Spark4.0 Ultra',
# temperature=...,
# other params...

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@ -199,7 +199,7 @@ class ChatZhipuAI(BaseChatModel):
Key init args completion params:
model: Optional[str]
Name of OpenAI model to use.
Name of ZhipuAI model to use.
temperature: float
Sampling temperature.
max_tokens: Optional[int]
@ -207,9 +207,9 @@ class ChatZhipuAI(BaseChatModel):
Key init args client params:
api_key: Optional[str]
ZhipuAI API key. If not passed in will be read from env var ZHIPUAI_API_KEY.
ZhipuAI API key. If not passed in will be read from env var ZHIPUAI_API_KEY.
api_base: Optional[str]
Base URL for API requests.
Base URL for API requests.
See full list of supported init args and their descriptions in the params section.
@ -255,7 +255,7 @@ class ChatZhipuAI(BaseChatModel):
.. code-block:: python
stream = llm.stream(messages)
stream = zhipuai_chat.stream(messages)
full = next(stream)
for chunk in stream:
full += chunk