2cff369cdc
Widen `bind_tools` to accept `TypedDict` via `Mapping` so that users may
import and use Anthropic's built-in tool types:
```python
import subprocess
from anthropic.types.beta import BetaToolBash20250124Param
from langchain.tools import tool
tool_spec = BetaToolBash20250124Param(
name="bash",
type="bash_20250124",
strict=True,
)
@tool(extras={"provider_tool_definition": tool_spec})
def bash(*, command: str, restart: bool = False, **kw):
"""Execute a bash command."""
if restart:
return "Bash session restarted"
try:
result = subprocess.run(
command,
shell=True,
capture_output=True,
text=True,
timeout=30,
)
return result.stdout + result.stderr
except Exception as e:
return f"Error: {e}"
# Bind bash tool to your model
```
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Packages
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.