Hyperdock for Langchain Community Tools

But seriously, what is a Hyperdock?

Hyperdock is just a fancy name for a collection of tools. Which are, just python functions returning str!
In this case, the collection will contain functions that invoke tools extending BaseTool interface of langchain.

How to use it?

To use tools from langchain-community, install langchain-community first.

$ pip install langchain-community # or maybe uv add langchain-community

Some tool might require additional dependencies. For example, slack tools of langchain-community requires slack-sdk. Check the requirements of the tool, and install them as well.
Make a dock with the tools you want to use. For example, let's say you want to use DuckDuckGoSearchRun tool.

from hyperdock_langchain import dock as langchain_dock, LangchainToolRequest
from langchain_community.tools import DuckDuckGoSearchRun

# ... 
dock = langchain_dock(
    LangchainToolRequest(tool_type=DuckDuckGoSearchRun), # you should pass the tool type, not a tool instance.
    # ...
)

You might want to use hyperpocket's auth feature while using the langchain tools. In that case, you can define auth property for the LangchainToolRequest.
The auth property must be possible to serialized as hyperpocket.tool.ToolAuth.

from hyperdock_langchain import dock as langchain_dock, LangchainToolRequest
from langchain_community.tools import SlackGetMessage

# ... 
dock = langchain_dock(
    LangchainToolRequest(tool_type=SlackGetMessage, auth={"auth_provider": "slack"}),
    # ...
)

If auth is provided, this dock recognize the credentials generated and set them as a proper environment variable.
After you make your dock, call from_dock from your pocket instantiation. For example, Let's say you're using hyperpocket for langchain. You can do:

from hyperpocket.tool import from_dock
from hyperpocket_langchain import PocketLangchain
from hyperdock_langchain import dock as langchain_dock, LangchainToolRequest

dock = langchain_dock(
    #...
)
# ...
def agent():
    # ...
    # initialize the pocket
    pocket = PocketLangchain(
        tools=[
            *from_dock(dock),
        ]
    )

Metadata

Release files for hyperdock-langchain 0.5.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hyperdock-langchain 0.5.7
File	Size	Uploaded
hyperdock_langchain-0.5.7.tar.gz	3.8 kB	Apr 11, 2025	Details

Built distribution (wheel)

Table of built distributions (wheels) for hyperdock-langchain 0.5.7
File	Interpreter	ABI	Platform	Reset
hyperdock_langchain-0.5.7-py3-none-any.whl 4.8 kB Apr 11, 2025	Python 3	none	any	Details

Total release size: 8.6 kB

Release files / hyperdock_langchain-0.5.7.tar.gz

Download URL	hyperdock_langchain-0.5.7.tar.gz
Size	3.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`60e376d98791b6d86b20c8257851d1cc5a736386f1344a0b73fdc5f26c939d0c`
BLAKE2b-256 checksum How to use checksums	`84c180f369cf375ab4716be2421ad899efca77993ba53e577d6d84a94093c256`
Upload date	Apr 11, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.6.14`

Release files / hyperdock_langchain-0.5.7-py3-none-any.whl

Download URL	hyperdock_langchain-0.5.7-py3-none-any.whl
Size	4.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7413ed4cd3328fd20069b9e2a5ab459dc10e51ce5b88d5f30875dbade8419c8f`
BLAKE2b-256 checksum How to use checksums	`ead705e70c46c42887d1fac6f2d1a0e67b1b69de419b3af7a2cc1f325e013054`
Upload date	Apr 11, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`uv/0.6.14`