558a8fe25b
### Description
This PR adds support for configuring HTTP/HTTPS proxies when rendering
Mermaid diagrams as PNG images using the remote Mermaid.INK API. This
enhancement allows users in restricted network environments to access
the API via a proxy, making the remote rendering feature more robust and
accessible.
The changes include:
- Added optional `proxies` parameter to `draw_mermaid_png` and
`_render_mermaid_using_api` functions
- Updated `Graph.draw_mermaid_png` method to support and pass through
proxy configuration
- Enhanced docstrings with usage examples for the new parameter
- Maintained full backward compatibility with existing code
### Usage Example
```python
proxies = {
"http": "http://127.0.0.1:7890",
"https": "http://127.0.0.1:7890"
}
display(Image(chain.get_graph().draw_mermaid_png(proxies=proxies)))
```
### Dependencies
No new dependencies required. Uses existing `requests` library for HTTP
requests.
---------
Co-authored-by: Mason Daugherty <mason@langchain.dev>
Co-authored-by: Mason Daugherty <github@mdrxy.com>
🦜🍎️ LangChain Core
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Quick Install
pip install langchain-core
🤔 What is this?
LangChain Core contains the base abstractions that power the LangChain ecosystem.
These abstractions are designed to be as modular and simple as possible.
The benefit of having these abstractions is that any provider can implement the required interface and then easily be used in the rest of the LangChain ecosystem.
⛰️ Why build on top of LangChain Core?
The LangChain ecosystem is built on top of langchain-core. Some of the benefits:
- Modularity: We've designed Core around abstractions that are independent of each other, and not tied to any specific model provider.
- Stability: We are committed to a stable versioning scheme, and will communicate any breaking changes with advance notice and version bumps.
- Battle-tested: Core components have the largest install base in the LLM ecosystem, and are used in production by many companies.
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