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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

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Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
This commit is contained in:
Bagatur
2023-12-11 13:53:30 -08:00
committed by GitHub
parent c0f4b95aa9
commit ed58eeb9c5
2446 changed files with 171805 additions and 137118 deletions
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26
libs/community/langchain_community/tools/steam/prompt.py Normal file
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STEAM_GET_GAMES_DETAILS = """
This tool is a wrapper around python-steam-api's steam.apps.search_games API and
steam.apps.get_app_details API, useful when you need to search for a game.
The input to this tool is a string specifying the name of the game you want to
search for. For example, to search for a game called "Counter-Strike: Global
Offensive", you would input "Counter-Strike: Global Offensive" as the game name.
This input will be passed into steam.apps.search_games to find the game id, link
and price, and then the game id will be passed into steam.apps.get_app_details to
get the detailed description and supported languages of the game. Finally the
results are combined and returned as a string.
"""
STEAM_GET_RECOMMENDED_GAMES = """
This tool is a wrapper around python-steam-api's steam.users.get_owned_games API
and steamspypi's steamspypi.download API, useful when you need to get a list of
recommended games. The input to this tool is a string specifying the steam id of
the user you want to get recommended games for. For example, to get recommended
games for a user with steam id 76561197960435530, you would input
"76561197960435530" as the steam id. This steamid is then utilized to form a
data_request sent to steamspypi's steamspypi.download to retrieve genres of user's
owned games. Then, calculates the frequency of each genre, identifying the most
popular one, and stored it in a dictionary. Subsequently, use steamspypi.download
to returns all games in this genre and return 5 most-played games that is not owned
by the user.
"""