docs: rename to langchain-deepseek in docs (#29587)

libs/langchain/langchain/chat_models/base.py

@@ -417,7 +417,7 @@ def _init_chat_model_helper(
 
         return ChatAnthropicVertex(model=model, **kwargs)
     elif model_provider == "deepseek":
-        _check_pkg("langchain_deepseek", pkg_kebab="langchain-deepseek-official")
+        _check_pkg("langchain_deepseek", pkg_kebab="langchain-deepseek")
         from langchain_deepseek import ChatDeepSeek
 
         return ChatDeepSeek(model=model, **kwargs)

libs/packages.yml

@@ -365,7 +365,7 @@ packages:
   repo: sambanova/langchain-sambanova
   path: .
   downloads: 0
-- name: langchain-deepseek-official
+- name: langchain-deepseek
   repo: langchain-ai/langchain
   path: libs/partners/deepseek
   downloads: 0

libs/partners/deepseek/README.md

@@ -1,11 +1,11 @@
-# langchain-deepseek-official
+# langchain-deepseek
 
 This package contains the LangChain integration with the DeepSeek API
 
 ## Installation
 
 ```bash
-pip install -U langchain-deepseek-official
+pip install -U langchain-deepseek
 ```
 
 And you should configure credentials by setting the following environment variables:

libs/partners/deepseek/langchain_deepseek/chat_models.py

@@ -16,11 +16,11 @@ class ChatDeepSeek(BaseChatOpenAI):
     """DeepSeek chat model integration to access models hosted in DeepSeek's API.
 
     Setup:
-        Install ``langchain-deepseek-official`` and set environment variable ``DEEPSEEK_API_KEY``.
+        Install ``langchain-deepseek`` and set environment variable ``DEEPSEEK_API_KEY``.
 
         .. code-block:: bash
 
-            pip install -U langchain-deepseek-official
+            pip install -U langchain-deepseek
             export DEEPSEEK_API_KEY="your-api-key"
 
     Key init args — completion params: