fix!: Improve PyPI package name. (#17)

Author: anubhav756

.github/ISSUE_TEMPLATE/bug_report.md

@@ -20,7 +20,7 @@ If you are still having issues, please be sure to include as much information as
   - OS type and version:
   - Python version: `python --version`
   - pip version: `pip --version`
-  - `toolbox-langchain-sdk` version: `pip show toolbox-langchain-sdk`
+  - `toolbox-langchain` version: `pip show toolbox-langchain`
 
 #### Steps to reproduce
 

.github/workflows/lint.yaml

@@ -75,4 +75,4 @@ jobs:
       - name: Run type-check
         env:
           MYPYPATH: './src'
-        run: mypy --install-types --non-interactive --cache-dir=.mypy_cache/ -p toolbox_langchain_sdk
+        run: mypy --install-types --non-interactive --cache-dir=.mypy_cache/ -p toolbox_langchain

README.md

@@ -39,7 +39,7 @@ applications, enabling advanced orchestration and interaction with GenAI models.
 Here's a minimal example to get you started:
 
 ```py
-from toolbox_langchain_sdk import ToolboxClient
+from toolbox_langchain import ToolboxClient
 from langchain_google_vertexai import ChatVertexAI
 
 toolbox = ToolboxClient("http://127.0.0.1:5000")
@@ -60,15 +60,15 @@ print(result)
 You can install the Toolbox SDK for LangChain using `pip`.
 
 ```bash
-pip install toolbox-langchain-sdk
+pip install toolbox-langchain
 ```
 
 ## Usage
 
 Import and initialize the toolbox client.
 
 ```py
-from toolbox_langchain_sdk import ToolboxClient
+from toolbox_langchain import ToolboxClient
 
 # Replace with your Toolbox service's URL
 toolbox = ToolboxClient("http://127.0.0.1:5000")
@@ -126,7 +126,7 @@ guide](https://langchain-ai.github.io/langgraph/) with minimal changes.
 Represent each tool as a LangGraph node, encapsulating the tool's execution within the node's functionality:
 
 ```py
-from toolbox_langchain_sdk import ToolboxClient
+from toolbox_langchain import ToolboxClient
 from langgraph.graph import StateGraph, MessagesState
 from langgraph.prebuilt import ToolNode
 
@@ -245,7 +245,8 @@ auth_tools = toolbox.load_toolset(auth_tokens={"my_auth": get_auth_token})
 ### Complete Example
 
 ```py
-from toolbox_langchain_sdk import ToolboxClient
+import asyncio
+from toolbox_langchain import ToolboxClient
 
 async def get_auth_token():
     # ... Logic to retrieve ID token (e.g., from local storage, OAuth flow)
@@ -324,7 +325,7 @@ use the asynchronous interfaces of the `ToolboxClient`.
 
 ```py
 import asyncio
-from toolbox_langchain_sdk import ToolboxClient
+from toolbox_langchain import ToolboxClient
 
 async def main():
     toolbox = ToolboxClient("http://127.0.0.1:5000")

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "toolbox-langchain-sdk"
+name = "toolbox-langchain"
 version="0.0.1"
 description = "Python SDK for interacting with the Toolbox service with LangChain"
 license = {file = "LICENSE"}