hyperpocket 0.3.0

Building AI agent with hyperpocket tool in a flash

Hyperpocket 👛

Hyperpocket is where tools belong. Power your agent up with a pocket of tools. 👛

Introduction

Hyperpocket is a tool that allows you to easily use tool and auth for agents on your machine.

Start fast. Just install Hyperpocket and use it. We know you don't have time to authenticate to our server.

Go securely. Not like others, you are the only one who knows your secret tokens. We do NOT. All of your secret tokens belong to your infrastructure, not ours.

Power up with public tools. Without worries for tool integration, use others' tools just with copy-and-paste the link to the tool. Your tool will run on isolated environment based on WebAssembly technology, and you don't have to deal with the dependency spaghetti.

Battery Included You can use popular tools and authentication providers out-of-the-box.

Getting Started

getting started langchain tool-calling-agent example with hyperpocket

1. Prerequisite

install hyperpocket package

pip install hyperpocket_langchain
pip install langchain_openai

install playwright

playwright install

2. Configuration

setting hyperpocket config in your current working directory

${WORKDIR}/.secret.toml

[auth.slack]
client_id = "<SLACK_CLIENT_ID>"
client_secret = "<SLACK_CLIENT_SECRET>"

setting openai api key env for this example.

export OPENAI_API_KEY=<OPENAI_API_KEY>

3. Writing code

langchain_example.py

import os

from langchain.agents import AgentExecutor, create_tool_calling_agent
from langchain.memory import ConversationBufferMemory
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain_openai import ChatOpenAI

from hyperpocket_langchain import PocketLangchain

if __name__ == '__main__':
    pocket = PocketLangchain(
        tools=[
            "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/get-message",
            "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/post-message",
        ],
    )
    tools = pocket.get_tools()
    llm = ChatOpenAI(model="gpt-4o", api_key=os.getenv("OPENAI_API_KEY"))
    prompt = ChatPromptTemplate.from_messages(
        [
            (
                "system",
                "You are a tool calling assistant. You can help the user by calling proper tools",
            ),
            ("placeholder", "{chat_history}"),
            ("user", "{input}"),
            MessagesPlaceholder(variable_name="agent_scratchpad"),
        ]
    )

    memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
    agent = create_tool_calling_agent(llm, tools, prompt)
    agent_executor = AgentExecutor(
        agent=agent,
        tools=tools,
        memory=memory,
        verbose=True,
        handle_parsing_errors=True,
    )

    print("Hello, This is simple slack agent using hyperpocket.")
    while True:
        print("user(q to quit) : ", end="")
        user_input = input()

        if user_input is None or user_input == "":
            continue
        elif user_input == "q":
            print("Good bye!")
            break

        response = agent_executor.invoke({"input": user_input})
        print("agent : ", response["output"])
        print()

4. Done !

python langchain_example.py

Usage

Supported agent frameworks

• Langgraph link
• Langchain link
• Llamaindex link

Or just use LLM API Clients out of the box.

• OpenAI link
• Anthropic link

Using out-of-the-box tools

from langchain_openai import ChatOpenAI

from hyperpocket_langchain import PocketLangchain

pklc = PocketLangchain(
    tools=[
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/get-message",
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/post-message",
    ]
)
tools = pklc.get_tools()

llm = ChatOpenAI()
llm_tool_binding = llm.bind_tools(tools)
llm_tool_binding.invoke(...)

Using out-of-the-box auth for various tools

There are two kinds of auth process, one is using system auth(developer api key) and the other is using end user auth.

Pocket provides way to use end user auth easily. (Of course, you can also just set your STRIPE_API_KEY when using Stripe API related tools)

• Supported methods

  • OAuth
  • Token
  • Basic Auth (Username, Password)

• Supported OAuth Providers

  • Google
  • GitHub
  • Slack
  • Reddit
  • Calendly
  • Facebook
  • X (Previously Twitter)
  • LinkedIn
  • Discord
  • Zoom
  • Microsoft
  • Spotify
  • Twitch

• Supported Token Providers

  • Notion
  • Slack
  • Linear
  • Gumloop
  • Github

You can manage your auths in request-wise level. (e.g. you can use different auths for different requests)

from langchain_openai import ChatOpenAI
from langgraph.graph import StateGraph, START, MessagesState
from langgraph.prebuilt import tools_condition

from hyperpocket_langgraph import PocketLanggraph

pklg = PocketLanggraph(
    tools=[
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/get-message",
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/post-message",
    ],
)
llm = ChatOpenAI()

# Langgraph
pk_tool_node = pklg.get_tool_node()
llm_tool_binding = llm.bind_tools(pklg.get_tools())

# ...

graph_builder = StateGraph(MessagesState)

graph_builder.add_node('llm', llm)
graph_builder.add_node('tools', pk_tool_node)
graph_builder.add_edge(START, llm)
graph_builder.add_conditional_edges("llm", tools_condition)
graph_builder.add_edge(pk_tool_node, llm)

# ...

graph_builder.compile()

import os

from llama_index.core.agent import FunctionCallingAgent
from llama_index.llms.openai import OpenAI

from hyperpocket_llamaindex import PocketLlamaindex

llm = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
pocket = PocketLlamaindex(
    tools=[
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/get-message",
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/slack/post-message",
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/linear/get-issues",
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/google/get-calendar-events",
        "https://github.com/vessl-ai/hyperpocket/tree/main/tools/google/get-calendar-list",
    ]
)
tools = pocket.get_tools()

agent = FunctionCallingAgent.from_tools(tools=tools, llm=llm)

Auth flow included

Human: List my slack messages in 'general' channel

Assistance: It looks like you need to authenticate to access the Slack messages. Please use [this link](https://slack.com/oauth/v2/authorize?user_scope=SCOPES&client_id=CLIENT_ID&redirect_uri=REDIRECT_URL) to authenticate your Slack account, and then let me know when you're done!

Human: done.

Assistance: Here are the recent 10 messages.
(...)

Config

Running hyperpocket config init will create your config file in ${WORKDIR}/settings.toml and ${WORKDIR}/.secrets.toml

The settings.toml looks as follows.

log_level = "debug"
internal_server_port = "8000" # optional, default is 8000
public_hostname = "localhost" # optional, default is localhost
public_server_protocol = "https" # optional, default is https
public_server_port = "8001" # optional, default is 8001
enable_local_callback_proxy = "true" # optional, default is true, can be turned off when running in production behind TLS termination
callback_url_rewrite_prefix = "proxy" # optional, default is proxy, auth callback url prefix

[session]
session_type = "redis" # optional, default is in-memory
[session.redis]
host = "localhost"
port = 6379
db = 0

[auth.slack] # add your slack app's client id and secret for slack auth
client_id = "" # your slack client id
client_secret = "" # your slack client secret

Or you put some sensitive data on {WORKDIR}/.secrets.toml

[auth.slack] # add your slack app's client id and secret for slack auth
client_id = "" # your slack client id
client_secret = "" # your slack client secret

• in this case, by putting your slack app client_id and client_secret on .secrets.toml, you can manage your sensitive data more safely.

How to integrate github OAuth app

1. Follow the github documentation to create a new OAuth app. https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/creating-an-oauth-app

• While creating your github OAuth app, configuring your app's Authorization callback URL is different for your development environment and production environment.
  • For local testing environment, you can use https://localhost:8001/proxy/auth/<provider>/callback for TLS enabled redirect url. (ex. https://localhost:8001/proxy/auth/github/callback)
    • Note: Default port for hyperpocket dev server is 8000. If you are using a different port, make sure to replace 8000 with your actual port number.
    • Note: But for easy dev experience, you can use TLS proxy on port 8001 provided out-of-the-box.
      • You can change the proxy prefix in settings.toml to your desired prefix with callback_url_rewrite_prefix key.
  • For production environment, you can use https://yourdomain.com/auth/github/callback
    • Note: Make sure to replace yourdomain.com with your actual domain name that this app will be hosted on.

How to integrate SLACK OAuth app

1. Follow the slack documentation to create a new Oauth APP. https://api.slack.com/quickstart

2. Setting Redirect URLs, Scopes at OAuth & Permissions tap in slack APP page

• Redirect URLs : {public_server_protocol}://{public_hostname}:[{public_server_port}]/{callback_url_rewrite_prefix}/auth/slack/oauth2/callback
• Scopes : What you want to request to user.
  • Recommended scopes :
    • channels:history,
    • channels:read,
    • chat:write,
    • groups:history,
    • groups:read,
    • im:history,
    • mpim:history,
    • reactions:read,
    • reactions:write,

3. Set your Slack APP Client ID / Client Secret in {WORKDIR}/settings.toml

Special thanks

• tott for drawing the cute possum in a pocket.